Tech in Fin before FinTech: Blessing or Curse for Financial Stability? Nicola Pierri; Yannick Timmer. IMF Working Paper No. 20/14, January 17, 2020. https://www.imf.org/en/Publications/WP/Issues/2020/01/17/Tech-in-Fin-before-FinTech-Blessing-or-Curse-for-Financial-Stability-48797
Summary: Motivated by the world-wide surge of FinTech lending, we analyze the implications of lenders’ information technology adoption for financial stability. We estimate bank-level intensity of IT adoption before the global financial crisis using a novel dataset that provides information on hardware used in US commercial bank branches after mapping them to their parent bank. We find that higher intensity of IT-adoption led to significantly lower non-performing loans when the crisis hit: banks with a one standard deviation higher IT-adoption experienced 10% lower non-performing loans. High-IT-adoption banks were not less exposed to the crisis through their geographical footprint, business model, funding sources, or other observable characteristics. Loan-level analysis indicates that high-IT-adoption banks originated mortgages with better performance and did not offload low-quality loans. We apply a simple text-analysis algorithm to the biographies of top executives and find that banks led by more “tech-oriented” managers adopted IT more intensively and experienced lower non-performing loans during the crisis. Our results suggest that technology adoption in lending can enhance financial stability through the production of more resilient loans.
Friday, January 17, 2020
Victims, perpetrators, or both? The vicious cycle of disrespect and cynical beliefs about human nature
Stavrova, O., Ehlebracht, D., & Vohs, K. D. (2020). Victims, perpetrators, or both? The vicious cycle of disrespect and cynical beliefs about human nature. Journal of Experimental Psychology: General. Jan 2020. https://doi.org/10.1037/xge0000738
Abstract: We tested how cynicism emerges and what maintains it. Cynicism is the tendency to believe that people are morally bankrupt and behave treacherously to maximize self-interest. Drawing on literatures on norms of respectful treatment, we proposed that being the target of disrespect gives rise to cynical views, which predisposes people to further disrespect. The end result is a vicious cycle: cynicism and disrespect fuel one another. Study 1’s nationally representative survey showed that disrespect and cynicism are positively related to each other in 28 of 29 countries studied, and that cynicism’s associations with disrespect were independent of (and stronger than) associations with lacking social support. Study 2 used a nationally representative longitudinal dataset, spanning 4 years. In line with the vicious cycle hypothesis, feeling disrespected and holding cynical views gave rise to each other over time. Five preregistered experiments (including 2 in the online supplemental materials) provided causal evidence. Study 3 showed that bringing to mind previous experiences of being disrespected heightened cynical beliefs subsequently. Studies 4 and 5 showed that to the extent that people endorsed cynical beliefs, others were inclined to treat them disrespectfully. Study 6’s weeklong daily diary study replicated the vicious cycle pattern. Everyday experiences of disrespect elevated cynical beliefs and vice versa. Moreover, cynical individuals tended to treat others with disrespect, which in turn predicted more disrespectful treatment by others. In short, experiencing disrespect gives rise to cynicism and cynicism elicits disrespect from others, thereby reinforcing the worldview that caused these negative reactions in the first place.
Abstract: We tested how cynicism emerges and what maintains it. Cynicism is the tendency to believe that people are morally bankrupt and behave treacherously to maximize self-interest. Drawing on literatures on norms of respectful treatment, we proposed that being the target of disrespect gives rise to cynical views, which predisposes people to further disrespect. The end result is a vicious cycle: cynicism and disrespect fuel one another. Study 1’s nationally representative survey showed that disrespect and cynicism are positively related to each other in 28 of 29 countries studied, and that cynicism’s associations with disrespect were independent of (and stronger than) associations with lacking social support. Study 2 used a nationally representative longitudinal dataset, spanning 4 years. In line with the vicious cycle hypothesis, feeling disrespected and holding cynical views gave rise to each other over time. Five preregistered experiments (including 2 in the online supplemental materials) provided causal evidence. Study 3 showed that bringing to mind previous experiences of being disrespected heightened cynical beliefs subsequently. Studies 4 and 5 showed that to the extent that people endorsed cynical beliefs, others were inclined to treat them disrespectfully. Study 6’s weeklong daily diary study replicated the vicious cycle pattern. Everyday experiences of disrespect elevated cynical beliefs and vice versa. Moreover, cynical individuals tended to treat others with disrespect, which in turn predicted more disrespectful treatment by others. In short, experiencing disrespect gives rise to cynicism and cynicism elicits disrespect from others, thereby reinforcing the worldview that caused these negative reactions in the first place.
Check also Competent individuals endorsed cynicism only if it was warranted in a given sociocultural environment; less competent individuals embraced cynicism unconditionally, maybe an adaptive default strategy to avoid the potential costs of falling prey to others’ cunning:
The Cynical Genius Illusion: Exploring and Debunking Lay Beliefs About Cynicism and Competence. Olga Stavrova, Daniel Ehlebracht. Personality and Social Psychology Bulletin, Jul 2018. https://www.bipartisanalliance.com/2018/07/competent-individuals-endorsed-cynicism.html
Male individuals are more willing to forgive all forms of infidelity to a greater extent than female individuals; attachment insecurity moderated this relationship
Understanding Infidelity Forgiveness: An Application of Implicit Theories of Relationships. Ashley E. Thompson, Dallas Capesius, Danica Kulibert and Randi A. DoyleJournal of Relationships Research, Volume 112020, e2, Jan 17 2020. https://doi.org/10.1017/jrr.2019.21
Abstract: Two studies were conducted to identify variables associated with hypothetical infidelity forgiveness and promote forgiveness by manipulating implicit theories of relationships (ITRs; destiny/growth beliefs). Study 1 assessed the relationship between the type of behaviour, sex of the forgiver, ITRs and infidelity forgiveness. Study 2 investigated the causal relationship between ITRs and infidelity forgiveness (including attachment insecurity as a moderator). Results revealed that male participants forgave a partner's infidelity to a greater extent than female participants and that solitary behaviours were rated as most forgivable, followed by emotional/affectionate and technology/online behaviours, and sexual/explicit behaviours as least forgivable. Male participants (not female participants) induced to endorse growth beliefs forgave a partner's emotional/affectionate and solitary infidelity to a greater extent than those induced to endorse destiny beliefs; attachment insecurity moderated this relationship. These results have important implications for researchers and practitioners working with couples in distress.
Abstract: Two studies were conducted to identify variables associated with hypothetical infidelity forgiveness and promote forgiveness by manipulating implicit theories of relationships (ITRs; destiny/growth beliefs). Study 1 assessed the relationship between the type of behaviour, sex of the forgiver, ITRs and infidelity forgiveness. Study 2 investigated the causal relationship between ITRs and infidelity forgiveness (including attachment insecurity as a moderator). Results revealed that male participants forgave a partner's infidelity to a greater extent than female participants and that solitary behaviours were rated as most forgivable, followed by emotional/affectionate and technology/online behaviours, and sexual/explicit behaviours as least forgivable. Male participants (not female participants) induced to endorse growth beliefs forgave a partner's emotional/affectionate and solitary infidelity to a greater extent than those induced to endorse destiny beliefs; attachment insecurity moderated this relationship. These results have important implications for researchers and practitioners working with couples in distress.
Becoming sexy: Contrapposto pose increases attractiveness ratings and modulates observers’ brain activity
Becoming sexy: Contrapposto pose increases attractiveness ratings and modulates observers’ brain activity. Farid Pazhoohi et al. Biological Psychology, January 17 2020, 107842. https://doi.org/10.1016/j.biopsycho.2020.107842
Highlights
• contrapposto pose is considered more attractive than neutral standing pose
• body posture modulates the visual information in early and late components
• middle temporal and angular gyri respond to body posture
Abstract: Previous neurophysiological studies have revealed the neural correlates of human body form perception, as well as those related to the perception of attractive body sizes. In the current study we aimed to extend the neurophysiological studies regarding body perception by investigating the perception of human body posture to provide insights into the cognitive mechanisms responsive to bodily form, and the processing of its attractiveness. To achieve these aims, we used the contrapposto posture which creates an exaggeration of low waist to hip ratio (WHR), an indicator of women's attractiveness. Electroencephalogram (EEG) signals were recorded while participants completed both (i) an oddball task presenting female body forms differing in pose (contrapposto vs. standing) and viewing angle (anterior vs. posterior), and (ii) a subsequent active attractiveness judgement task. Behavioral results showed that a contrapposto pose is considered more attractive than a neutral standing pose. Result at the neural level showed that body posture modulates the visual information processing in early ERP components, indicating attentional variations depending on human body posture; as well as in late components, indicating further differences in attention and attractiveness judgement of stimuli varying in body pose. Furthermore, the LORETA results identified the middle temporal gyrus as well as angular gyrus as the key brain regions activated in association with the perception and attractiveness judgment of females’ bodies with different body poses. Overall, the current paper suggests the evolutionary adaptive preference for lower WHRs as in the contrapposto pose activating brain regions associated with visual perception and attractiveness judgement.
Keywords: body postureattractivenesssupernormal stimuliEEGERP
Check also Men looking at women: The contrapposto pose was perceived as more attractive than the standing pose
Highlights
• contrapposto pose is considered more attractive than neutral standing pose
• body posture modulates the visual information in early and late components
• middle temporal and angular gyri respond to body posture
Abstract: Previous neurophysiological studies have revealed the neural correlates of human body form perception, as well as those related to the perception of attractive body sizes. In the current study we aimed to extend the neurophysiological studies regarding body perception by investigating the perception of human body posture to provide insights into the cognitive mechanisms responsive to bodily form, and the processing of its attractiveness. To achieve these aims, we used the contrapposto posture which creates an exaggeration of low waist to hip ratio (WHR), an indicator of women's attractiveness. Electroencephalogram (EEG) signals were recorded while participants completed both (i) an oddball task presenting female body forms differing in pose (contrapposto vs. standing) and viewing angle (anterior vs. posterior), and (ii) a subsequent active attractiveness judgement task. Behavioral results showed that a contrapposto pose is considered more attractive than a neutral standing pose. Result at the neural level showed that body posture modulates the visual information processing in early ERP components, indicating attentional variations depending on human body posture; as well as in late components, indicating further differences in attention and attractiveness judgement of stimuli varying in body pose. Furthermore, the LORETA results identified the middle temporal gyrus as well as angular gyrus as the key brain regions activated in association with the perception and attractiveness judgment of females’ bodies with different body poses. Overall, the current paper suggests the evolutionary adaptive preference for lower WHRs as in the contrapposto pose activating brain regions associated with visual perception and attractiveness judgement.
Keywords: body postureattractivenesssupernormal stimuliEEGERP
Check also Men looking at women: The contrapposto pose was perceived as more attractive than the standing pose
Waist-to-Hip Ratio as Supernormal Stimuli: Effect of Contrapposto Pose and Viewing Angle. Farid Pazhoohi. Archives of Sexual Behavior, June 18 2019. https://www.bipartisanalliance.com/2019/06/men-looking-at-women-contrapposto-pose.html
Perceived versus actual autism knowledge: Participants least knowledgeable about ASD overestimated their own knowledge; those most knowledgeable underestimated it
Perceived versus actual autism knowledge in the general population. Camilla M. McMahon, Brianna Stoll, Meghan Linthicum. Research in Autism Spectrum Disorders, Volume 71, March 2020, 101499. https://doi.org/10.1016/j.rasd.2019.101499
Highlights
• Participants’ perceived ASD knowledge was not related to their actual ASD knowledge.
• Participants least knowledgeable about ASD overestimated their own knowledge.
• Participants most knowledgeable about ASD underestimated their own knowledge.
Abstract
Background In recent years, there has been a growing interest in assessing the general public’s knowledge and awareness of Autism Spectrum Disorders (ASD). A variety of methods have been used to measure participants’ ASD knowledge, including self-report of ASD knowledge and objective assessment of ASD knowledge. The goals of the current study are twofold: (1) To determine whether there is a relationship between participants’ self-reported, perceived ASD knowledge and objectively-measured, actual ASD knowledge and (2) to examine the degree to which participants are aware of and can accurately monitor their own ASD knowledge.
Method Participants in the general population completed a subjective, self-report questionnaire on their perceived knowledge of ASD and an objective assessment measuring their actual knowledge of ASD. After completing the objective assessment, they estimated their raw score and percentile performance on the assessment.
Results Participants’ perceived knowledge of ASD was not related to their actual knowledge of ASD. Participants least knowledgeable about ASD overestimated their performance, and participants most knowledgeable about ASD underestimated their performance.
Conclusions These results suggest that perceived and actual ASD knowledge are theoretically distinct constructs, such that self-reported ASD knowledge cannot serve as a proxy variable for actual ASD knowledge. Furthermore, individuals with low ASD knowledge are often not aware of their own ignorance, such that it is unlikely that they will independently seek additional knowledge or training in this area.
Keywords: Autism Spectrum Disorder (ASD)Autism knowledgeOverconfidenceDunning-Kruger effectUnskilled and unawareMetacognitive monitoring
Check also Participants with the lowest assessed weather knowledge do overestimate their weather knowledge, a result consistent with previous psychological studies:
And In self-judgment, the "best option illusion" leads to Dunning-Kruger (failure to recognize our own incompetence). In social judgment, it leads to the Cassandra quandary (failure to identify when another person’s competence exceeds our own):
Highlights
• Participants’ perceived ASD knowledge was not related to their actual ASD knowledge.
• Participants least knowledgeable about ASD overestimated their own knowledge.
• Participants most knowledgeable about ASD underestimated their own knowledge.
Abstract
Background In recent years, there has been a growing interest in assessing the general public’s knowledge and awareness of Autism Spectrum Disorders (ASD). A variety of methods have been used to measure participants’ ASD knowledge, including self-report of ASD knowledge and objective assessment of ASD knowledge. The goals of the current study are twofold: (1) To determine whether there is a relationship between participants’ self-reported, perceived ASD knowledge and objectively-measured, actual ASD knowledge and (2) to examine the degree to which participants are aware of and can accurately monitor their own ASD knowledge.
Method Participants in the general population completed a subjective, self-report questionnaire on their perceived knowledge of ASD and an objective assessment measuring their actual knowledge of ASD. After completing the objective assessment, they estimated their raw score and percentile performance on the assessment.
Results Participants’ perceived knowledge of ASD was not related to their actual knowledge of ASD. Participants least knowledgeable about ASD overestimated their performance, and participants most knowledgeable about ASD underestimated their performance.
Conclusions These results suggest that perceived and actual ASD knowledge are theoretically distinct constructs, such that self-reported ASD knowledge cannot serve as a proxy variable for actual ASD knowledge. Furthermore, individuals with low ASD knowledge are often not aware of their own ignorance, such that it is unlikely that they will independently seek additional knowledge or training in this area.
Keywords: Autism Spectrum Disorder (ASD)Autism knowledgeOverconfidenceDunning-Kruger effectUnskilled and unawareMetacognitive monitoring
Check also Participants with the lowest assessed weather knowledge do overestimate their weather knowledge, a result consistent with previous psychological studies:
What People Know About the Weather. Christopher Nunley, Kathleen Sherman-Morris. Bulletin of the American Meteorological Society, Jan 2020. https://www.bipartisanalliance.com/2020/01/participants-with-lowest-assessed.html
And In self-judgment, the "best option illusion" leads to Dunning-Kruger (failure to recognize our own incompetence). In social judgment, it leads to the Cassandra quandary (failure to identify when another person’s competence exceeds our own):
The best option illusion in self and social assessment. David Dunning. Self and Identity, Apr 2018. https://www.bipartisanalliance.com/2018/04/in-self-judgment-best-option-illusion.html
Black Americans, relative to White Americans, generate images of police officers’ faces that are more negative, less positive, & more dominant
Good Cop, Bad Cop: Race-Based Differences in Mental Representations of Police. E. Paige Lloyd et al. Personality and Social Psychology Bulletin, January 16, 2020. https://doi.org/10.1177/0146167219898562
Abstract: The current work investigates race-based biases in conceptualization of the facial appearance of police. We employ a reverse correlation procedure to demonstrate that Black Americans, relative to White Americans, conceptualize police officers’ faces as more negative, less positive, and more dominant. We further find that these differential representations have implications for interactions with police. When naïve participants (of various races) viewed images of police officers generated by Black Americans (relative to those generated by White Americans), they responded with greater anticipated anxiety and reported more fight-or-flight behavioral intentions. Across four studies, findings suggest Black and White Americans conceptualize police and police–citizen interactions fundamentally differently. These findings have important theoretical (e.g., using reverse correlation to document the mental representations held by minority group members) and practical implications (e.g., identifying race-based differences in representations of police that may affect community–police relations).
Keywords: person perception, intergroup relations, prejudice/stereotyping, social cognition
From Good Cop Bad Cop Methodology https://osf.io/hyfnk/
Study 1
Face rating dimensions:
“Please rate the person picture above on the following dimensions:”
Traits: (presented in random order)
How friendly does this person appear? (1=Not at all, 9=Extremely)
How warm does this person appear? (1=Not at all, 9=Extremely)
How empathetic does this person appear? (1=Not at all, 9=Extremely)
How fearful does this person appear? (1=Not at all, 9=Extremely)
How hostile does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How authoritative does this person appear? (1=Not at all, 9=Extremely)
How powerful does this person appear? (1=Not at all, 9=Extremely)
Study 2
Face rating instructions:
“Thank You for participating in today's experiment!
In this study, we are interested in people's perceptions of different groups. You will be presented with
blurry face images and you will be asked to rate those images on a variety of traits.
Although these faces may seem similar, they are not identical. There are subtle differences. Please judge
each face independent of the previous. Past research indicates that even in these blurry faces people are
quite accurate in identifying characteristics and qualities about the person.
Please click continue.”
Face rating dimensions:
“Please rate the person picture above on the following dimensions:”
Traits: (presented in random order)
How friendly does this person appear? (1=Not at all, 9=Extremely)
How warm does this person appear? (1=Not at all, 9=Extremely)
How empathetic does this person appear? (1=Not at all, 9=Extremely)
How fearful does this person appear? (1=Not at all, 9=Extremely)
How hostile does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How authoritative does this person appear? (1=Not at all, 9=Extremely)
How powerful does this person appear? (1=Not at all, 9=Extremely)
Group membership: (presented in order shown below)
How Eurocentric (White) does this person appear? (1=Not at all, 9=Extremely)
How Afrocentric (Black) does this person appear? (1=Not at all, 9=Extremely)
How feminine does this person appear? (1=Not at all, 9=Extremely)
How masculine does this person appear? (1=Not at all, 9=Extremely)
Study 3
Face rating instructions:
“In this study, we are interested in people's perceptions of different individuals. You will be presented
with one blurry face and a scenario. The face you see will be randomly selected. Pay close attention to
cues in the face, imagine yourself in the scenario, and then respond to the questions.
Please click continue.”
Imagined scenario instructions:
“Look carefully at the face above and imagine the following scenario:
You're walking home alone at night when the person pictured above says to stop walking. They are a
police officer. They are armed. They begin to approach you. To your knowledge you are doing nothing
wrong and are breaking no laws.
Feelings of anxiety measure: (presented in random order)
How tense would you feel? (1=Not at all, 9=Extremely)
How frightened would feel? (1=Not at all, 9=Extremely)
How anxious would you feel? (1=Not at all, 9=Extremely)
How scared would you feel? (1=Not at all, 9=Extremely)
How worried would you feel? (1=Not at all, 9=Extremely)
How safe would you feel? (1=Not at all, 9=Extremely)
How at ease would you feel? (1=Not at all, 9=Extremely)
How relaxed would you feel? (1=Not at all, 9=Extremely)
How protected would you feel? (1=Not at all, 9=Extremely)
How comfortable would you feel? (1=Not at all, 9=Extremely)
Fight-and-flight behavioral intentions measure: (presented in random order)
“Again look carefully at the face above and continue to imagine the scenario.”
To what extent would you be preparing to physically defend yourself, in case it became
necessary? (1=Not at all, 9=Extremely)
To what extent would you be preparing to run away, in case it became necessary? (1=Not at all,
9=Extremely)
Quantity and quality of contact with police questionnaire:
5.
How much contact have you had with police officers? (1=None, 7=A great deal)
6.
How positive has your contact with police been? (1=Not at all positive, 7=Extremely positive)
7.
How many police officers do you know? (1=None, 7=Know a lot)
8.
How well do you know those police officers (1=Do not know those officers well, 7=Know those
officers very well)
Attitudes toward police questionnaire:
7.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
8.
To what extent are polices officers effective at fighting crime? (1=Not at all, 7=Extremely)
9.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
10.
To what extent do you feel police officers try to treat people fairly regardless of who they are?
(1=Not at all, 7=Extremely)
11.
To what extent do you feel police officers can be relied on to be there when you need them?
(1=Not at all, 7=Extremely)
12.
To what extent do you trust police officers to make decisions that are good for everyone in your
community? (1=Not at all, 7=Extremely)
Study 4
Face rating instructions:
“In this study, we are interested in people's perceptions of different groups. You will be presented with 2
images of blurry faces and you will be asked to rate those images on a variety of traits.
Although these faces may seem similar, they are not identical. There are subtle differences. Please judge
each face independent of the previous. Past research indicates that even in these blurry faces people are
quite accurate in identifying characteristics and qualities about the person.
Please click continue.”
Face rating dimensions:
“Please rate the person picture above on the following dimensions:”
Traits: (presented in random order)
How friendly does this person appear? (1=Not at all, 9=Extremely)
How warm does this person appear? (1=Not at all, 9=Extremely)
How empathetic does this person appear? (1=Not at all, 9=Extremely)
How fearful does this person appear? (1=Not at all, 9=Extremely)
How hostile does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How authoritative does this person appear? (1=Not at all, 9=Extremely)
How powerful does this person appear? (1=Not at all, 9=Extremely)
Imagined scenario instructions:
“Look carefully at the face above and imagine the following scenario:
You're walking home alone at night when the person pictured above says to stop walking. They are a
police officer. They are armed. They begin to approach you. To your knowledge you are doing nothing
wrong and are breaking no laws.
Feelings of anxiety measure: (presented in random order)
How tense would you feel? (1=Not at all, 9=Extremely)
How frightened would feel? (1=Not at all, 9=Extremely)
How anxious would you feel? (1=Not at all, 9=Extremely)
How scared would you feel? (1=Not at all, 9=Extremely)
How worried would you feel? (1=Not at all, 9=Extremely)
How safe would you feel? (1=Not at all, 9=Extremely)
How at ease would you feel? (1=Not at all, 9=Extremely)
How relaxed would you feel? (1=Not at all, 9=Extremely)
How protected would you feel? (1=Not at all, 9=Extremely)
How comfortable would you feel? (1=Not at all, 9=Extremely)
Fight-and-flight behavioral intentions measure: (presented in random order)
“Again look carefully at the face above and again imagine the scenario.
You're walking home alone at night when the person pictured above says to stop walking. They
are a police officer. They are armed. They begin to approach you. To your knowledge you are
doing nothing wrong and are breaking no laws.”
To what extent would you be preparing to physically defend yourself, in case it became
necessary? (1=Not at all, 9=Extremely)
To what extent would you be preparing to run away, in case it became necessary? (1=Not at all,
9=Extremely)
Quantity and quality of contact with police questionnaire:
9.
How much contact have you had with police officers? (1=None, 7=A great deal)
10.
How positive has your contact with police been? (1=Not at all positive, 7=Extremely positive)
11.
How many police officers do you know? (1=None, 7=Know a lot)
12.
How well do you know those police officers (1=Do not know those officers well, 7=Know those
officers very well)
Attitudes toward police questionnaire:
13.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
14.
To what extent are polices officers effective at fighting crime? (1=Not at all, 7=Extremely)
15.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
16.
To what extent do you feel police officers try to treat people fairly regardless of who they are?
(1=Not at all, 7=Extremely)
17.
To what extent do you feel police officers can be relied on to be there when you need them?
(1=Not at all, 7=Extremely)
18.
To what extent do you trust police officers to make decisions that are good for everyone in your
community? (1=Not at all, 7=Extremely)
Abstract: The current work investigates race-based biases in conceptualization of the facial appearance of police. We employ a reverse correlation procedure to demonstrate that Black Americans, relative to White Americans, conceptualize police officers’ faces as more negative, less positive, and more dominant. We further find that these differential representations have implications for interactions with police. When naïve participants (of various races) viewed images of police officers generated by Black Americans (relative to those generated by White Americans), they responded with greater anticipated anxiety and reported more fight-or-flight behavioral intentions. Across four studies, findings suggest Black and White Americans conceptualize police and police–citizen interactions fundamentally differently. These findings have important theoretical (e.g., using reverse correlation to document the mental representations held by minority group members) and practical implications (e.g., identifying race-based differences in representations of police that may affect community–police relations).
Keywords: person perception, intergroup relations, prejudice/stereotyping, social cognition
From Good Cop Bad Cop Methodology https://osf.io/hyfnk/
Study 1
Face rating dimensions:
“Please rate the person picture above on the following dimensions:”
Traits: (presented in random order)
How friendly does this person appear? (1=Not at all, 9=Extremely)
How warm does this person appear? (1=Not at all, 9=Extremely)
How empathetic does this person appear? (1=Not at all, 9=Extremely)
How fearful does this person appear? (1=Not at all, 9=Extremely)
How hostile does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How authoritative does this person appear? (1=Not at all, 9=Extremely)
How powerful does this person appear? (1=Not at all, 9=Extremely)
Study 2
Face rating instructions:
“Thank You for participating in today's experiment!
In this study, we are interested in people's perceptions of different groups. You will be presented with
blurry face images and you will be asked to rate those images on a variety of traits.
Although these faces may seem similar, they are not identical. There are subtle differences. Please judge
each face independent of the previous. Past research indicates that even in these blurry faces people are
quite accurate in identifying characteristics and qualities about the person.
Please click continue.”
Face rating dimensions:
“Please rate the person picture above on the following dimensions:”
Traits: (presented in random order)
How friendly does this person appear? (1=Not at all, 9=Extremely)
How warm does this person appear? (1=Not at all, 9=Extremely)
How empathetic does this person appear? (1=Not at all, 9=Extremely)
How fearful does this person appear? (1=Not at all, 9=Extremely)
How hostile does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How authoritative does this person appear? (1=Not at all, 9=Extremely)
How powerful does this person appear? (1=Not at all, 9=Extremely)
Group membership: (presented in order shown below)
How Eurocentric (White) does this person appear? (1=Not at all, 9=Extremely)
How Afrocentric (Black) does this person appear? (1=Not at all, 9=Extremely)
How feminine does this person appear? (1=Not at all, 9=Extremely)
How masculine does this person appear? (1=Not at all, 9=Extremely)
Study 3
Face rating instructions:
“In this study, we are interested in people's perceptions of different individuals. You will be presented
with one blurry face and a scenario. The face you see will be randomly selected. Pay close attention to
cues in the face, imagine yourself in the scenario, and then respond to the questions.
Please click continue.”
Imagined scenario instructions:
“Look carefully at the face above and imagine the following scenario:
You're walking home alone at night when the person pictured above says to stop walking. They are a
police officer. They are armed. They begin to approach you. To your knowledge you are doing nothing
wrong and are breaking no laws.
Feelings of anxiety measure: (presented in random order)
How tense would you feel? (1=Not at all, 9=Extremely)
How frightened would feel? (1=Not at all, 9=Extremely)
How anxious would you feel? (1=Not at all, 9=Extremely)
How scared would you feel? (1=Not at all, 9=Extremely)
How worried would you feel? (1=Not at all, 9=Extremely)
How safe would you feel? (1=Not at all, 9=Extremely)
How at ease would you feel? (1=Not at all, 9=Extremely)
How relaxed would you feel? (1=Not at all, 9=Extremely)
How protected would you feel? (1=Not at all, 9=Extremely)
How comfortable would you feel? (1=Not at all, 9=Extremely)
Fight-and-flight behavioral intentions measure: (presented in random order)
“Again look carefully at the face above and continue to imagine the scenario.”
To what extent would you be preparing to physically defend yourself, in case it became
necessary? (1=Not at all, 9=Extremely)
To what extent would you be preparing to run away, in case it became necessary? (1=Not at all,
9=Extremely)
Quantity and quality of contact with police questionnaire:
5.
How much contact have you had with police officers? (1=None, 7=A great deal)
6.
How positive has your contact with police been? (1=Not at all positive, 7=Extremely positive)
7.
How many police officers do you know? (1=None, 7=Know a lot)
8.
How well do you know those police officers (1=Do not know those officers well, 7=Know those
officers very well)
Attitudes toward police questionnaire:
7.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
8.
To what extent are polices officers effective at fighting crime? (1=Not at all, 7=Extremely)
9.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
10.
To what extent do you feel police officers try to treat people fairly regardless of who they are?
(1=Not at all, 7=Extremely)
11.
To what extent do you feel police officers can be relied on to be there when you need them?
(1=Not at all, 7=Extremely)
12.
To what extent do you trust police officers to make decisions that are good for everyone in your
community? (1=Not at all, 7=Extremely)
Study 4
Face rating instructions:
“In this study, we are interested in people's perceptions of different groups. You will be presented with 2
images of blurry faces and you will be asked to rate those images on a variety of traits.
Although these faces may seem similar, they are not identical. There are subtle differences. Please judge
each face independent of the previous. Past research indicates that even in these blurry faces people are
quite accurate in identifying characteristics and qualities about the person.
Please click continue.”
Face rating dimensions:
“Please rate the person picture above on the following dimensions:”
Traits: (presented in random order)
How friendly does this person appear? (1=Not at all, 9=Extremely)
How warm does this person appear? (1=Not at all, 9=Extremely)
How empathetic does this person appear? (1=Not at all, 9=Extremely)
How fearful does this person appear? (1=Not at all, 9=Extremely)
How hostile does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How dominant does this person appear? (1=Not at all, 9=Extremely)
How authoritative does this person appear? (1=Not at all, 9=Extremely)
How powerful does this person appear? (1=Not at all, 9=Extremely)
Imagined scenario instructions:
“Look carefully at the face above and imagine the following scenario:
You're walking home alone at night when the person pictured above says to stop walking. They are a
police officer. They are armed. They begin to approach you. To your knowledge you are doing nothing
wrong and are breaking no laws.
Feelings of anxiety measure: (presented in random order)
How tense would you feel? (1=Not at all, 9=Extremely)
How frightened would feel? (1=Not at all, 9=Extremely)
How anxious would you feel? (1=Not at all, 9=Extremely)
How scared would you feel? (1=Not at all, 9=Extremely)
How worried would you feel? (1=Not at all, 9=Extremely)
How safe would you feel? (1=Not at all, 9=Extremely)
How at ease would you feel? (1=Not at all, 9=Extremely)
How relaxed would you feel? (1=Not at all, 9=Extremely)
How protected would you feel? (1=Not at all, 9=Extremely)
How comfortable would you feel? (1=Not at all, 9=Extremely)
Fight-and-flight behavioral intentions measure: (presented in random order)
“Again look carefully at the face above and again imagine the scenario.
You're walking home alone at night when the person pictured above says to stop walking. They
are a police officer. They are armed. They begin to approach you. To your knowledge you are
doing nothing wrong and are breaking no laws.”
To what extent would you be preparing to physically defend yourself, in case it became
necessary? (1=Not at all, 9=Extremely)
To what extent would you be preparing to run away, in case it became necessary? (1=Not at all,
9=Extremely)
Quantity and quality of contact with police questionnaire:
9.
How much contact have you had with police officers? (1=None, 7=A great deal)
10.
How positive has your contact with police been? (1=Not at all positive, 7=Extremely positive)
11.
How many police officers do you know? (1=None, 7=Know a lot)
12.
How well do you know those police officers (1=Do not know those officers well, 7=Know those
officers very well)
Attitudes toward police questionnaire:
13.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
14.
To what extent are polices officers effective at fighting crime? (1=Not at all, 7=Extremely)
15.
To what extent do you feel police officers listen to community members and understand the
issues that affect your community? (1=Not at all, 7=Extremely)
16.
To what extent do you feel police officers try to treat people fairly regardless of who they are?
(1=Not at all, 7=Extremely)
17.
To what extent do you feel police officers can be relied on to be there when you need them?
(1=Not at all, 7=Extremely)
18.
To what extent do you trust police officers to make decisions that are good for everyone in your
community? (1=Not at all, 7=Extremely)
In total, our results are consistent with the likelihood of considerable genetic variation in the expression of male gender nonconformity, and possibly even in its causes
Familiality of Gender Nonconformity Among Homosexual Men. J. Michael Bailey. Archives of Sexual Behavior, January 16 2020. https://link.springer.com/article/10.1007/s10508-020-01626-w
Abstract: We examined whether recalled childhood gender nonconformity and self-reported adult gender nonconformity is familial, using data from 1154 families selected for having at least two homosexual brothers. Specifically, we examined the extent to which homosexual men’s variation in gender nonconformity runs in families by examining pairs of genetic brothers who were both homosexual (N = 672–697 full sibling concordant pairs). We also examined similarity between homosexual and heterosexual brothers (N = 79–82 full sibling discordant pairs). Consistent with past studies, concordant pairs yielded modest positive correlations consistent with moderate genetic and/or familial environmental effects on gender nonconformity. Unlike results of smaller past studies, discordant pairs also yielded modest positive, though nonsignificant, correlations. Our results support the feasibility of supplementing genetic studies of male sexual orientation with analyses of gender nonconformity variation.
Keywords: Sexual orientation Homosexuality Gender nonconformity Familiality Genetics
Abstract: We examined whether recalled childhood gender nonconformity and self-reported adult gender nonconformity is familial, using data from 1154 families selected for having at least two homosexual brothers. Specifically, we examined the extent to which homosexual men’s variation in gender nonconformity runs in families by examining pairs of genetic brothers who were both homosexual (N = 672–697 full sibling concordant pairs). We also examined similarity between homosexual and heterosexual brothers (N = 79–82 full sibling discordant pairs). Consistent with past studies, concordant pairs yielded modest positive correlations consistent with moderate genetic and/or familial environmental effects on gender nonconformity. Unlike results of smaller past studies, discordant pairs also yielded modest positive, though nonsignificant, correlations. Our results support the feasibility of supplementing genetic studies of male sexual orientation with analyses of gender nonconformity variation.
Keywords: Sexual orientation Homosexuality Gender nonconformity Familiality Genetics
Thursday, January 16, 2020
Young men had higher proportions of sexual abstinence than middle-aged men due to unavailability of a partner, lower educational levels, low socioeconomic status, conservative & religious conditions
Irfan M, Hussain NHN, Noor NM, et al. Sexual Abstinence and Associated Factors Among Young and Middle-Aged Men: A Systematic Review. J Sex Med 2020;XX:XXX–XXX. https://doi.org/10.1016/j.jsxm.2019.12.003
Abstract
Introduction Sexual activity is an essential human need and an important predictor of other aspects of human life. A literature review was conducted to investigate whether sexual abstinence in young and middle-aged men is generally considered a deliberate, healthy behavior and whether it has other causes and consequences.
Aim To review the prevalence and factors associated with sexual abstinence in young (10–24 years) and middle-aged (25–59 years) men.
Methods Studies were retrieved from Science Direct, PubMed, and EBSCOhost published from 2008 to 2019. The selection criteria were original population- or community-based articles, published in the English language, on sexual abstinence, and in young and middle-aged men.
Main Outcome Measure This article reviewed the literature on the proportions of and factors associated with sexual abstinence in young and middle-aged men.
Results A total of 13,154 studies were retrieved, from which data were extracted for 37 population- or community-based studies. The prevalence of sexual abstinence varied from 0% to 83.6% in men younger than 60 years. The prevalence of primary sexual abstinence was 3.4%–83.3% for young men and 12.5%–15.5% for middle-aged men. The prevalence of secondary abstinence for young men ranged from 1.3% to 83.6%, while for middle-aged men, it was from 1.2% to 67.7%. The prevalence of sexual abstinence decreased with increasing age in young men but increased with increasing age in middle-aged men. The significant factors reported were age, single status, poor relationships, low socioeconomic status, sex education, religious practices, caring and monitoring parents, and not using alcohol, cigarettes, or drugs. Although the variations in findings from different studies can be explained by different regions and cultures, the information cannot be generalized worldwide because of a lack of studies in Asian and Australian populations.
Clinical Implications The studies on sexual abstinence in the future should use a consistent and standard definition, cover all sexual behaviors, and investigate all related factors.
Strength & Limitations The restricted timeframe (2008–2019), English language, availability of full text, and variability in definition and time duration may be the sources of bias.
Conclusion Young men had higher proportions of sexual abstinence than middle-aged men, and age, unavailability of a partner, lower educational levels, low socioeconomic status, conservative and religious conditions, and no or less knowledge about sexually transmitted infections were common predictors of sexual abstinence in most of the men. Although determinants of sexual abstinence were identified, further investigation of biological factors in men younger than 60 years is needed.
Key Words: Sexual InactivitySexual AbstinencePrimary Sexual AbstinenceSecondary Sexual AbstinenceSex Education
Abstract
Introduction Sexual activity is an essential human need and an important predictor of other aspects of human life. A literature review was conducted to investigate whether sexual abstinence in young and middle-aged men is generally considered a deliberate, healthy behavior and whether it has other causes and consequences.
Aim To review the prevalence and factors associated with sexual abstinence in young (10–24 years) and middle-aged (25–59 years) men.
Methods Studies were retrieved from Science Direct, PubMed, and EBSCOhost published from 2008 to 2019. The selection criteria were original population- or community-based articles, published in the English language, on sexual abstinence, and in young and middle-aged men.
Main Outcome Measure This article reviewed the literature on the proportions of and factors associated with sexual abstinence in young and middle-aged men.
Results A total of 13,154 studies were retrieved, from which data were extracted for 37 population- or community-based studies. The prevalence of sexual abstinence varied from 0% to 83.6% in men younger than 60 years. The prevalence of primary sexual abstinence was 3.4%–83.3% for young men and 12.5%–15.5% for middle-aged men. The prevalence of secondary abstinence for young men ranged from 1.3% to 83.6%, while for middle-aged men, it was from 1.2% to 67.7%. The prevalence of sexual abstinence decreased with increasing age in young men but increased with increasing age in middle-aged men. The significant factors reported were age, single status, poor relationships, low socioeconomic status, sex education, religious practices, caring and monitoring parents, and not using alcohol, cigarettes, or drugs. Although the variations in findings from different studies can be explained by different regions and cultures, the information cannot be generalized worldwide because of a lack of studies in Asian and Australian populations.
Clinical Implications The studies on sexual abstinence in the future should use a consistent and standard definition, cover all sexual behaviors, and investigate all related factors.
Strength & Limitations The restricted timeframe (2008–2019), English language, availability of full text, and variability in definition and time duration may be the sources of bias.
Conclusion Young men had higher proportions of sexual abstinence than middle-aged men, and age, unavailability of a partner, lower educational levels, low socioeconomic status, conservative and religious conditions, and no or less knowledge about sexually transmitted infections were common predictors of sexual abstinence in most of the men. Although determinants of sexual abstinence were identified, further investigation of biological factors in men younger than 60 years is needed.
Key Words: Sexual InactivitySexual AbstinencePrimary Sexual AbstinenceSecondary Sexual AbstinenceSex Education
Discussion
The present systematic review aimed to investigate the proportions of sexual abstinence in young and middle-aged men younger than 60 years. We identified a previous, nonsystematic, descriptive review of the lack of sexuality in young men, with no information on the included studies,45 but proper systematic reviews were more focused on the effectiveness of various sexual abstinence programs.46,47
Sexual abstinence has previously been stressed in youth, but it is currently considered that protected (using condom) sexual activity is important for a healthy psychosocial life of men.24 In the literature review, the unavailability of a partner, lower educational levels, low socioeconomic status, conservative and religious conditions, and no or less knowledge about STIs were common predictors of sexual abstinence in most of the young and middle-aged men.
Most of the studies published on sexual abstinence in young and middle-aged men were focused on North American and African populations, but Asia (the most populated continent) and Australia had limited publications, and South America had none. Primary sexual abstinence was mostly studied in young men, and no study was found in the 45- to 59-year age group. However, primary sexual inactivity could persist until later ages if caused by no or low sexual desire, asexuality, or homosexuality, which should be investigated in the future.
Most of the studies were focused on the absence or cessation of penile-vaginal sexual intercourse, which underestimates sexual activity in young men. Adolescents and young adults who may have difficulties in finding a partner, be threatened by negative outcomes (pregnancy and STIs) or face social taboos may be involved in other sexual activities, such as solitary or mutual masturbation, caressing, or oral-genital sexual activities.
The present review shows that the reported prevalence of sexual abstinence varies considerably based on various factors. Most of the studies defined sexual abstinence differently and used different tools of assessment (questionnaires, interviews) and different methods of administration of those tools. Similarly, variations were also attributed to the different durations (a few days to 5 years) of sexual abstinence.
The proportions reported in the included studies for the same or similar age groups were wide, and there were inconsistencies in the associated factors, possibly due to differences in methodologies, research designs, participant characteristics, sample sizes, variables investigated, and presentation of results.
The studies used a self-administered questionnaire reported relatively increased proportions of primary and secondary sexual abstinence as compared with the interview or interviewer-assisted questionnaire. The reason behind this may be the men found it difficult to describe their sexual inactivity to the interviewer. The prevalence of sexual abstinence decreased with the increasing age in young men because they can consent and have greater chances to have sexual partners through a casual encounter, commitment, or marriage.48 The other factors of decreased sexual abstinence in young men include physical and mental growth and increased sexual desire with age.2,14,19 However, in middle-aged men, the onset of self and partners' health issues, divorce, and low sexual functions due to the process of aging may increase the prevalence of sexual abstinence.49
The present review established evidence that as in elderly men, young and middle-aged men also have physical and mental health–related issues that lead to sexual abstinence. Similarly, young and middle-aged men also have sexual abstinence due to the difficulties to have a sexual partner or have an estranged relationship with the partner. The other factors may be related to socioeconomics, lifestyle, behavioral, relationship status, and involvement in religion. Therefore, it is suspected that the assessment of success in any sexual abstinence program may not be correct without considering the role of these factors.
The studies for adolescents and young men were more focused on the prevention of STIs and unwanted pregnancies in specific populations and circumstances,16,17,29,30,32 and the results were more dependent on the characteristics of the participants in each study. Therefore, the factors identified are not generalizable to the wider population of young men. The variations due to different populations and different methods could not be separated, and a direct comparison of rates of prevalence reported in the different studies could not be performed.
Recommendations for Future Research
First, the definition and time period for which sexual abstinence is defined in future research should be consistent and standard. Second, the studies should include the proportions of sexual activities other than penile-vaginal sexual intercourse and investigate the role of biological factors in men younger than 60 years. Third, there is a need to review studies conducted before 2008 also and compare decade-wise to get information on the trends of sexual abstinence. Fourth, while assessment of the success of a sexual abstinent program, the other factors should also be considered. Finally, primary sexual inactivity should also be investigated in middle-aged men older than 45 years in the future.
Limitations
The review was limited to the published studies that may create bias because of the increased probability of the publication of studies with significant results. The other sources of bias were that studies published in language other than English and full text not available were not included in the review. There were also a few studies that had a nonrandom sampling design. Furthermore, we picked age groups less than 60 years from among studies that focused on men of all age groups, which may have affected the accuracy of the findings and compromised generalizability. Only 12.5% (n = 4) of the studies were from Asia and 6.3% (n = 2) from Australia, affecting the generalizability of the findings to Asian, Australian, and South American men. Most of the studies on young men defined sexual inactivity as no sexual intercourse with a partner but did not consider other sexual activities (masturbation, noncoital, and so on), yet the studies on middle-aged men defined sexual inactivity as including some of coital and noncoital behavior.
Failure to replicate: We found no short-term or long-term effects of the 4th of July on social distance from partisan and ideological ingroups or outgroups
Brandt, Mark J., and Felicity M. Turner-Zwinkels. 2020. “Proximity to the July 4th Holiday Does Not Affect Affective Polarization.” PsyArXiv. January 16. doi:10.31234/osf.io/7yqkd
Abstract: One promising approach for reducing affective polarization is priming a shared American identity and one promising event to prime that identity is the 4th of July. Prior work showed that proximity to the 4th of July reduced affective polarization. We conceptually replicated this study using a 9-wave longitudinal design in 2019. We found no short-term or long-term effects of the 4th of July on social distance from partisan and ideological ingroups or outgroups. There were individual differences in social distance trajectories across time, but there were not individual differences in short-terms changes in social distance in close proximity to the 4th of July. Although priming a shared American identity may be effective, these findings suggest that the salutary effects of the 4th of July holiday do not emerge in 2019, suggesting that the effectiveness of primes of American identity are not consistent overtime.
Abstract: One promising approach for reducing affective polarization is priming a shared American identity and one promising event to prime that identity is the 4th of July. Prior work showed that proximity to the 4th of July reduced affective polarization. We conceptually replicated this study using a 9-wave longitudinal design in 2019. We found no short-term or long-term effects of the 4th of July on social distance from partisan and ideological ingroups or outgroups. There were individual differences in social distance trajectories across time, but there were not individual differences in short-terms changes in social distance in close proximity to the 4th of July. Although priming a shared American identity may be effective, these findings suggest that the salutary effects of the 4th of July holiday do not emerge in 2019, suggesting that the effectiveness of primes of American identity are not consistent overtime.
Replication data: https://osf.io/26bua/?view_only=a85cb58461c34a59b8db8d2eb5666bfc
This manuscript has not been peer-reviewed. Comments are appreciated. Send any to
m.j.brandt at tilburguniversity.edu
General Discussion
We found no clear effects of proximity to the 4th of July on social distance from partisan and
ideological outgroups, ingroups, or ideological moderates using a preregistered 9-wave panel study.
Although individual differences exist on a number of the relevant longitudinal trajectories, we did
not find individual differences on any of the factors representing short terms changes in social
distance near the 4th of July. These results should cast doubt on the effectiveness of the 4th of July to
reduce affective polarization.
There are important differences from Levendusky’s (2018) original finding. Levendusky used
a between-subjects design in the election year of 2008 and asked participants to evaluate candidates.
We used a within-subjects design in the off-election year of 2019 and asked participants to evaluate
partisan and ideological ingroups and outgroups. All of these methodological differences should not
theoretically cause a problem. For example, the original paper was about affective polarization
broadly (i.e. not just about candidates) and the theorizing should apply to our measures of social
distance. Similarly, it seems that, if anything, a non-election year might be less polarizing because the
political context is less competitive. Nonetheless, the political system in the United States is in a
different place in 2019 compared to 2008. In the summer of 2008, both presidential candidates
expressed support for working with members of the other party and bridging American divides. In
the summer of 2019, Donald Trump advocated for a polarizing military-style parade to help
celebrate the 4th of July. These different political contexts may be enough to shift the meaning of the
4th of July and reduce its potential depolarizing impact.
Levedusky’s (2018) original theoretical insight was that a common ingroup identity might
reduce affective polarization. Although we did not find support for the idea that this might occur via
proximity to the 4th of July, common ingroup identity could still be an effective depolarization
strategy. This suggests that what serves as an effective prime of common ingroup identity is subject
to change. According to Hornsey and Hogg (2000), making the superordinate identity salient while
ignoring subgroup identities might induce identity threat and therefore perpetuate intergroup bias.
As such, future application of Levendusky’s (2018) July the 4th paradigm may find it useful to
acknowledge the American, Democrat and Republican identities simultaneously. However, it is
possible that growing differences between Democrats and Republicans limit the effectiveness of the
American identity to function as a common ingroup. Rutchick and Eccleston (2010) argue that
because Democrats and Republicans have rather different ideas about what the American identity
means, it may be less able to harmoniously unite these subgroups. If this is the case, then carefully
constructing primes to work their current context is important for replicating and extending the
work on American identity primes, as well as using this work in practical settings.
The longitudinal design allowed us to identify the existence of individual differences in
response to the proximity of the 4th of July. However, this came at the cost of nonrepresentativeness. Although our analyses suggest little heterogeneity in the effects of proximity to
the 4th of July, an even more heterogenous sample may identify the predicted effects. We were also
only able to include a single-item measure of affective polarization, although we were able to use this
measure for both ideological and partisan groups. Our results suggest that proximity to the 4th of
July does not impact social distance from ideological and partisan outgroups, ingroups, or
ideological moderates in 2019. Other primes of American identity may be more effective.
This manuscript has not been peer-reviewed. Comments are appreciated. Send any to
m.j.brandt at tilburguniversity.edu
General Discussion
We found no clear effects of proximity to the 4th of July on social distance from partisan and
ideological outgroups, ingroups, or ideological moderates using a preregistered 9-wave panel study.
Although individual differences exist on a number of the relevant longitudinal trajectories, we did
not find individual differences on any of the factors representing short terms changes in social
distance near the 4th of July. These results should cast doubt on the effectiveness of the 4th of July to
reduce affective polarization.
There are important differences from Levendusky’s (2018) original finding. Levendusky used
a between-subjects design in the election year of 2008 and asked participants to evaluate candidates.
We used a within-subjects design in the off-election year of 2019 and asked participants to evaluate
partisan and ideological ingroups and outgroups. All of these methodological differences should not
theoretically cause a problem. For example, the original paper was about affective polarization
broadly (i.e. not just about candidates) and the theorizing should apply to our measures of social
distance. Similarly, it seems that, if anything, a non-election year might be less polarizing because the
political context is less competitive. Nonetheless, the political system in the United States is in a
different place in 2019 compared to 2008. In the summer of 2008, both presidential candidates
expressed support for working with members of the other party and bridging American divides. In
the summer of 2019, Donald Trump advocated for a polarizing military-style parade to help
celebrate the 4th of July. These different political contexts may be enough to shift the meaning of the
4th of July and reduce its potential depolarizing impact.
Levedusky’s (2018) original theoretical insight was that a common ingroup identity might
reduce affective polarization. Although we did not find support for the idea that this might occur via
proximity to the 4th of July, common ingroup identity could still be an effective depolarization
strategy. This suggests that what serves as an effective prime of common ingroup identity is subject
to change. According to Hornsey and Hogg (2000), making the superordinate identity salient while
ignoring subgroup identities might induce identity threat and therefore perpetuate intergroup bias.
As such, future application of Levendusky’s (2018) July the 4th paradigm may find it useful to
acknowledge the American, Democrat and Republican identities simultaneously. However, it is
possible that growing differences between Democrats and Republicans limit the effectiveness of the
American identity to function as a common ingroup. Rutchick and Eccleston (2010) argue that
because Democrats and Republicans have rather different ideas about what the American identity
means, it may be less able to harmoniously unite these subgroups. If this is the case, then carefully
constructing primes to work their current context is important for replicating and extending the
work on American identity primes, as well as using this work in practical settings.
The longitudinal design allowed us to identify the existence of individual differences in
response to the proximity of the 4th of July. However, this came at the cost of nonrepresentativeness. Although our analyses suggest little heterogeneity in the effects of proximity to
the 4th of July, an even more heterogenous sample may identify the predicted effects. We were also
only able to include a single-item measure of affective polarization, although we were able to use this
measure for both ideological and partisan groups. Our results suggest that proximity to the 4th of
July does not impact social distance from ideological and partisan outgroups, ingroups, or
ideological moderates in 2019. Other primes of American identity may be more effective.
Age trends for all dark personality features were progressive through adolescence, but negative through adulthood; trends for agreeableness partly mirrored these trends & changes in dark personality features & agreeableness were correlated
The Unfolding Dark Side: Age Trends in Dark Personality Features. Theo A.Klimstra et al. Journal of Research in Personality, January 16 2020, 103915. https://doi.org/10.1016/j.jrp.2020.103915
Highlights
• Gender differences in Dirty Dozen scale scores varied by age and by feature.
• Age trends were progressive through adolescence, but negative through adulthood.
• Gender and age trends in agreeableness partly mirrored those of the Dirty Dozen.
• Longitudinal changes in Dirty Dozen scales and agreeableness were correlated.
Abstract: Age and gender differences across the lifespan in dark personality features could provide hints regarding these features’ functions. We measured manipulation, callous affect, and egocentricity using the Dirty Dozen and their links with agreeableness in a pooled cross-sectional dataset (N = 4,292) and a longitudinal dataset (N = 325). Age trends for all dark personality features were progressive through adolescence, but negative through adulthood. Men scored higher than women, but the gender gap varied with age. Trends for agreeableness partly mirrored these trends and changes in dark personality features and agreeableness were correlated. Results are discussed in light of the maturity principle of personality, gender role socialization processes, and issues regarding incremental validity of dark personality over traditional antagonism measures.
Highlights
• Gender differences in Dirty Dozen scale scores varied by age and by feature.
• Age trends were progressive through adolescence, but negative through adulthood.
• Gender and age trends in agreeableness partly mirrored those of the Dirty Dozen.
• Longitudinal changes in Dirty Dozen scales and agreeableness were correlated.
Abstract: Age and gender differences across the lifespan in dark personality features could provide hints regarding these features’ functions. We measured manipulation, callous affect, and egocentricity using the Dirty Dozen and their links with agreeableness in a pooled cross-sectional dataset (N = 4,292) and a longitudinal dataset (N = 325). Age trends for all dark personality features were progressive through adolescence, but negative through adulthood. Men scored higher than women, but the gender gap varied with age. Trends for agreeableness partly mirrored these trends and changes in dark personality features and agreeableness were correlated. Results are discussed in light of the maturity principle of personality, gender role socialization processes, and issues regarding incremental validity of dark personality over traditional antagonism measures.
A comparison of men’s and women’s perceptions of the female body using a multidimensional scaling analysis of naturalistic stimuli
A comparison of men’s and women’s perceptions of the female body using a multidimensional scaling analysis of naturalistic stimuli. Deana D Diekhoff, George M Diekhoff, Michael A Vandehey. Health Psychology Open, June 5, 2019. https://doi.org/10.1177/2055102919854665
Abstract: Men and women worked with 25 naturalistic photos of females representing varied physiques. Similarity judgments of the photos were analyzed using multidimensional scaling analysis to produce composite maps for male and female participants. A comparison of the maps showed gender similarities and differences. Both genders used almost identical attributes in judging similarities and identified almost identical body types, but men were more inclusive in identifying ideal females; men included curvaceous females that were rejected by women. Women identified very thin females that were rejected by men. Men were affectively most positive toward female ideals; women were most positive to near-ideals.
Keywords: body image, categorical perception, female body ideals, female body perception, multidimensional scaling analysis
We
found both similarities and differences in men’s and women’s
perceptions of the female body, including female ideals. Consider first
which perceptual attributes were most salient in their stimulus maps.
Men and women in our study were similar in that their perceptions of
female bodies were organized using the potency semantic differential
dimensions of large-small and masculine-feminine. However, men and women
differed in their choice of evaluative dimensions. Men used the more
sexually connoted dimension of beautiful-ugly, while women used the
sexually neutral dimension of good-bad. Both men’s and women’s maps also
showed that size was important in judging female bodies for similarity,
as were the three affective reactions of fear, happiness, and disgust.
We concluded from all of this that men and women used many but not all
the same perceptual filters as they judged female bodies for similarity,
except that sexual attractiveness (beautiful-ugly) was more salient for
men than women, as might be expected in a predominantly heterosexual
population. Men’s and women’s stimulus maps also revealed the use of
nearly identical body perception categories. Both men and women used the
categories of average, larger size, obese, muscular, underweight, and
ideal females. Women added a near-ideal category that was not apparent
in the men’s map. Some of these categories were imposed by the
researchers’ use of marker stimuli for Average Body and Ideal Body, but
the other categories were used spontaneously by our participants. Not
only were the body categories nearly identical, the body stimuli that
were included in those categories were very similar for men and women.
Men and women included exactly the same body stimuli in the larger size,
obese, and muscular female body categories. As discussed next, there
were some interesting differences in the classification of female body
stimuli to the ideal, near-ideal, and average categories.
In the women’s map, only five body stimuli (i.e. 6, 12, 17, 18, 22) were included in the ideal female body cluster; the men’s ideal female cluster included nine stimuli (i.e. 1, 6, 9, 10, 12, 14, 17, 21, 22). Men were more inclusive than women in identifying female ideals. This finding is consistent with Buss’ (2016) observations about men’s choice of partners for casual sexual encounters: “Yet another psychological solution to securing a variety of casual sex partners is men’s relaxation of their standards for acceptable partners … Relaxed standards ensure the presence of more eligible players” (p. 78).
Two body stimuli that women in our study considered average (i.e. 10, 14) were included by men in their ideal category. Three additional stimuli (i.e. 1, 9, 21) that formed a near-ideal cluster in the women’s map (midway between the ideals and the averages) were also included in the ideal cluster by men. Women, but not men, included the very lean stimulus 18 in the ideal cluster. Although some previous studies reported that men and women both preferred the same thin female ideal (Koscinski, 2013; Swami et al., 2010; Willinge et al., 2006), our study showed noticeable gender differences. Men, but not women, identified female stimulus photos as ideal that displayed the classic hourglass shape, wider hips, larger breasts, more body fat, and less muscle definition. In contrast, female bodies that were selected by women as ideal were relatively thin, more athletically fit, with thinner legs, narrow hips, smaller breasts, and increased muscle definition. Put simply, men tended to judge on sexual attractiveness and fitness to deliver children (sexual attractiveness and health). In contrast, women were inclined to judge on physical fitness (health only). This finding confirms other research reflective of women’s preference for a physically fit, healthy ideal (Ahern et al., 2011; Asendorpf et al., 2011; MacNeill and Best, 2015; Stephen and Perera, 2014), but contrasts with Smith et al., 2007) who found no correspondence between female models’ cardiovascular fitness levels and ratings of attractiveness from male and female observers. However, those researchers used a physiological measure of fitness (a 6-minute submaximal cycle ergometry test measuring maximal oxygen consumption) whereas fitness was inferred from visual body characteristics in our study.
One last difference between men’s and women’s perceptions of the ideal female body is suggested by the location of the ideal female cluster along the affective reaction dimensions in the two maps. Both men and women responded with positive affect toward ideal female bodies, but that positivity was somewhat muted among women, who located some non-ideal female stimulus bodies (i.e. 1, 9 10, 14, 21) more positively than their female ideals. In contrast, ideal females were at the maximally positive ends of the affective reaction dimensions in the men’s map. Why would women show less positive affect toward ideal female bodies than near-ideal ideal bodies? The explanation may be found in the literature on mate selection and competition and in appearance-based social comparisons. First, female bodies that are slightly off-ideal present less competition in mate selection than do fully ideal females and would elicit more positive affective responses because of this (Davies and Shackelford, 2017). Second, upward social comparisons (in this study, comparisons of one’s own body to bodies deemed to be more desirable, based on internalized cultural beauty standards) lead to body dissatisfaction, increased negative affect toward the more desirable bodies, and increased body self-surveillance (Feltman and Szymanski, 2018; Janelle et al., 2009; Moreno-Domínguez et al., 2019; Stronge et al., 2015; Thøgersen-Ntoumani et al., 2017).
Abstract: Men and women worked with 25 naturalistic photos of females representing varied physiques. Similarity judgments of the photos were analyzed using multidimensional scaling analysis to produce composite maps for male and female participants. A comparison of the maps showed gender similarities and differences. Both genders used almost identical attributes in judging similarities and identified almost identical body types, but men were more inclusive in identifying ideal females; men included curvaceous females that were rejected by women. Women identified very thin females that were rejected by men. Men were affectively most positive toward female ideals; women were most positive to near-ideals.
Keywords: body image, categorical perception, female body ideals, female body perception, multidimensional scaling analysis
Discussion
In the women’s map, only five body stimuli (i.e. 6, 12, 17, 18, 22) were included in the ideal female body cluster; the men’s ideal female cluster included nine stimuli (i.e. 1, 6, 9, 10, 12, 14, 17, 21, 22). Men were more inclusive than women in identifying female ideals. This finding is consistent with Buss’ (2016) observations about men’s choice of partners for casual sexual encounters: “Yet another psychological solution to securing a variety of casual sex partners is men’s relaxation of their standards for acceptable partners … Relaxed standards ensure the presence of more eligible players” (p. 78).
Two body stimuli that women in our study considered average (i.e. 10, 14) were included by men in their ideal category. Three additional stimuli (i.e. 1, 9, 21) that formed a near-ideal cluster in the women’s map (midway between the ideals and the averages) were also included in the ideal cluster by men. Women, but not men, included the very lean stimulus 18 in the ideal cluster. Although some previous studies reported that men and women both preferred the same thin female ideal (Koscinski, 2013; Swami et al., 2010; Willinge et al., 2006), our study showed noticeable gender differences. Men, but not women, identified female stimulus photos as ideal that displayed the classic hourglass shape, wider hips, larger breasts, more body fat, and less muscle definition. In contrast, female bodies that were selected by women as ideal were relatively thin, more athletically fit, with thinner legs, narrow hips, smaller breasts, and increased muscle definition. Put simply, men tended to judge on sexual attractiveness and fitness to deliver children (sexual attractiveness and health). In contrast, women were inclined to judge on physical fitness (health only). This finding confirms other research reflective of women’s preference for a physically fit, healthy ideal (Ahern et al., 2011; Asendorpf et al., 2011; MacNeill and Best, 2015; Stephen and Perera, 2014), but contrasts with Smith et al., 2007) who found no correspondence between female models’ cardiovascular fitness levels and ratings of attractiveness from male and female observers. However, those researchers used a physiological measure of fitness (a 6-minute submaximal cycle ergometry test measuring maximal oxygen consumption) whereas fitness was inferred from visual body characteristics in our study.
One last difference between men’s and women’s perceptions of the ideal female body is suggested by the location of the ideal female cluster along the affective reaction dimensions in the two maps. Both men and women responded with positive affect toward ideal female bodies, but that positivity was somewhat muted among women, who located some non-ideal female stimulus bodies (i.e. 1, 9 10, 14, 21) more positively than their female ideals. In contrast, ideal females were at the maximally positive ends of the affective reaction dimensions in the men’s map. Why would women show less positive affect toward ideal female bodies than near-ideal ideal bodies? The explanation may be found in the literature on mate selection and competition and in appearance-based social comparisons. First, female bodies that are slightly off-ideal present less competition in mate selection than do fully ideal females and would elicit more positive affective responses because of this (Davies and Shackelford, 2017). Second, upward social comparisons (in this study, comparisons of one’s own body to bodies deemed to be more desirable, based on internalized cultural beauty standards) lead to body dissatisfaction, increased negative affect toward the more desirable bodies, and increased body self-surveillance (Feltman and Szymanski, 2018; Janelle et al., 2009; Moreno-Domínguez et al., 2019; Stronge et al., 2015; Thøgersen-Ntoumani et al., 2017).
Same sex sexual attraction evolved as just one of a suite of traits responding to strong selection for prosocial behavior (reduced reactive aggression, increased social affiliation, social communication, & ease of social integration)
Prosociality and a Sociosexual Hypothesis for the Evolution of Same-Sex Attraction in Humans. Andrew B. Barron and Brian Hare. Front. Psychol., 16 January 2020. https://doi.org/10.3389/fpsyg.2019.02955
Abstract: Human same-sex sexual attraction (SSSA) has long been considered to be an evolutionary puzzle. The trait is clearly biological: it is widespread and has a strong additive genetic basis, but how SSSA has evolved remains a subject of debate. Of itself, homosexual sexual behavior will not yield offspring, and consequently individuals expressing strong SSSA that are mostly or exclusively homosexual are presumed to have lower fitness and reproductive success. How then did the trait evolve, and how is it maintained in populations? Here we develop a novel argument for the evolution of SSSA that focuses on the likely adaptive social consequences of SSSA. We argue that same sex sexual attraction evolved as just one of a suite of traits responding to strong selection for ease of social integration or prosocial behavior. A strong driver of recent human behavioral evolution has been selection for reduced reactive aggression, increased social affiliation, social communication, and ease of social integration. In many prosocial mammals sex has adopted new social functions in contexts of social bonding, social reinforcement, appeasement, and play. We argue that for humans the social functions and benefits of sex apply to same-sex sexual behavior as well as heterosexual behavior. As a consequence we propose a degree of SSSA, was selected for in recent human evolution for its non-conceptive social benefits. We discuss how this hypothesis provides a better explanation for human sexual attractions and behavior than theories that invoke sexual inversion or single-locus genetic models.
Abstract: Human same-sex sexual attraction (SSSA) has long been considered to be an evolutionary puzzle. The trait is clearly biological: it is widespread and has a strong additive genetic basis, but how SSSA has evolved remains a subject of debate. Of itself, homosexual sexual behavior will not yield offspring, and consequently individuals expressing strong SSSA that are mostly or exclusively homosexual are presumed to have lower fitness and reproductive success. How then did the trait evolve, and how is it maintained in populations? Here we develop a novel argument for the evolution of SSSA that focuses on the likely adaptive social consequences of SSSA. We argue that same sex sexual attraction evolved as just one of a suite of traits responding to strong selection for ease of social integration or prosocial behavior. A strong driver of recent human behavioral evolution has been selection for reduced reactive aggression, increased social affiliation, social communication, and ease of social integration. In many prosocial mammals sex has adopted new social functions in contexts of social bonding, social reinforcement, appeasement, and play. We argue that for humans the social functions and benefits of sex apply to same-sex sexual behavior as well as heterosexual behavior. As a consequence we propose a degree of SSSA, was selected for in recent human evolution for its non-conceptive social benefits. We discuss how this hypothesis provides a better explanation for human sexual attractions and behavior than theories that invoke sexual inversion or single-locus genetic models.
In most contemporary human cultures that have been studied individuals who self-identify as exclusively homosexual are rare (Ward et al., 2014; Bailey et al., 2016),
but a larger minority of the population report some homosexual sexual
behavior and experience and a degree of same sex sexual attraction
(SSSA) (Bagley and Tremblay, 1998; Savin-Williams and Vrangalova, 2013; Bailey et al., 2016). While estimates of the population prevalence and distribution of SSSA vary (Bailey et al., 2016) contemporary studies support Kinsey et al.’s (1948, 1953)
conclusion that in human populations there is continuous variation in
the expression of homosexuality. The variation forms a smooth cline from
a large majority who report exclusive or mostly heterosexual attraction
and/or behavior, through groups who report degrees of both homosexual
and heterosexual attractions and/or behavior to a small minority who
report exclusive homosexual attractions and behavior (Savin-Williams and Vrangalova, 2013; Bailey et al., 2016).
For evolutionary biologists SSSA and associated
homosexual sexual orientation has presented somewhat of a conundrum.
SSSA persists both within and across cultures (Witham and Mathy, 1985; Crompton, 2006) and within families, since sexual orientation has high heritability (Pillard and Bailey, 1998; Mustanski et al., 2005; Santtila et al., 2008; Bailey et al., 2016).
Evidence from human twin studies and genome-wide genetic association
studies suggest that about one third of the variation in sexual
orientation can be attributed to additive genetic factors (Santtila et al., 2008; Bailey et al., 2016; Ganna et al., 2019).
For evolutionary biologists the puzzle is typically posed like this:
how can a heritable SSSA persist in a population when homosexual sex of
itself is non-reproductive and homosexual people have fewer offspring on
average than heterosexual people (Bell et al., 1981; King et al., 2005; Wrangham, 2019).
There is expected to be strong selection against genetic factors that
contribute to SSSA: how, therefore, can heritable homosexual attractions
persist in a population (Kirkpatrick, 2000; Gavrilets and Rice, 2006; Bártová and Valentová, 2012; Rice et al., 2012; Jeffery, 2015)?
Various explanations to this puzzle have been proposed.
The prevalence of SSSA is certainly too high for the trait to be
maintained by recurrent random mutation (Moran, 1972).
Models have consequently been proposed to explain how SSSA could be
maintained in a population as a stable genetic polymorphism, but
presently there is scant or no evidence to support these theories.
The theory of sexually antagonistic selection proposes
that genetic factors contributing to SSSA in one sex could persist in
populations if they conferred a strong selective advantage when
expressed in the other sex, and various models of this kind have been
posed to explain human SSSA (Gavrilets and Rice, 2006; Camperio-Ciani et al., 2008; Rice et al., 2012). Camperio-Ciani et al. (2008)
explored whether the female relatives of homosexual males had more
offspring than female relatives of heterosexual males, which could be
indirect evidence for antagonistic sexual selection. There is some
evidence that females with male homosexual relatives have more children
than females with no male homosexual relatives in a Western European
population (Camperio-Ciani et al., 2008; Lemmola and Camperio-Ciani, 2009), but this finding is at best only weakly supported in other populations or cultures (Vasey et al., 2007; Bailey et al., 2016; Semenyna et al., 2017),
and so overall there is little evidence for sexually antagonistic
selection as an explanation for SSSA in human males. No study has yet
explored whether this theory might apply to human females.
An alternative hypothesis proposes that SSSA and
homosexual behavior could be maintained in a population if genetic
factors contributing to these traits had pleiotropic effects that
conferred a reproductive advantage. Zietsch et al. (2008)
explored a version of this hypothesis and reported that psychologically
masculine females and psychologically feminine men typically identified
as non-heterosexual, but if did self identify as heterosexual they also
self-reported a greater number of sexual partners than average for
heterosexuals. We note that number of sexual partners is a long way from
a measure of reproductive success or fitness. We also note that a
critical test of this hypothesis was whether heterosexuals with a
non-heterosexual identical twin have more sexual partners than members
of heterosexual identical twin pairs. Here, there was a trend in the
hypothesized direction but no statistically significant difference in
number of sexual partners (Zietsch et al., 2008). Zietsch et al.’s (2008)
study is certainly intriguing. The data they present are compatible
with a relationship between SSSA, homosexual behavior and increased
socio-sexuality – a point we develop later.
Kin-selection theories propose genes promoting SSSA
could persist in a population if people expressing SSSA enhanced the
reproduction of relatives (Bailey and Zuk, 2009).
It is assumed the indirect fitness benefit of more relatives would
compensate for the presumed fitness costs associated with SSSA and
same-sex sexual behavior. Invoking kin-selection theory to explain human
SSSA seems a little odd. The many examples of social and reproductive
traits in animals that have evolved as a consequence of kin selection
emphasize the evolution of non-reproductives, not same-sex sexual
behavior (Kirkpatrick, 2000). In human societies there is very little evidence homosexual people increase the reproductive output of relatives (Bobrow and Bailey, 2001; Rahman and Hull, 2005; Vasey and VanderLaan, 2012; Abild et al., 2014; Prum, 2017)
offering weak empirical support to kin selection theories for SSSA. But
several studies by Vasey and others have emphasized the avuncularity
(defined as altruistic uncle-like behavior) and generosity of
transgender males expressing SSSA (Vasey et al., 2007; Vasey and VanderLaan, 2012, 2015; Abild et al., 2014) perhaps indicating a relationship between SSSA and affiliative behavior.
Here we propose a sociosexual hypothesis for the
evolution of SSSA that explores possible adaptive social functions of
same-sex directed attractions and behavior. Benefits of SSSA and same
sex sexual behavior for the development and maintenance of same sex
social bonds and group affiliation have been proposed previously, most
notably by Kirkpatrick (2000) and later by Bártová and Valentová (2012).
But here we link the evolution of human SSSA to the suite of traits
that evolved as a consequence of selection for ease of social
integration (prosocial behavior), within-group tolerance and social
affiliation. This has been described as an evolutionary process of human
self-domestication (Eisenberg et al., 1983; Clay and Zuberbühler, 2011; Gleeson, 2016; Hare, 2017; Theofanopoulou et al., 2017; Niego and Benítez-Burraco, 2019; Wrangham, 2019).
Assessing SSSA in non-human animals is not easy, but what is clear is that homosexual behavior is not a human innovation. It is widespread in primates (Sommer and Vasey, 2006) and other animals (Bagemihl, 1999; Bailey and Zuk, 2009),
and is certainly ancestral to hominids. Analyses of the contexts of
occurrence of homosexual sexual behavior in primate societies suggest
the behavior has various diverse functions. These include appeasement,
pacification, reinforcement of social dominance structures, juvenile
play, social tolerance, stress reduction, and barter (Sommer and Vasey, 2006; Clay and de Waal, 2015). Heterosexual sexual behavior shows a similar diversity of expression across primate societies (Sommer and Vasey, 2006).
It appears there has been an expansion of the social functions of
sexual interactions (both homosexual and heterosexual) as more complex
societies evolved in primates (Werner, 2006).
As a consequence, sexual behavior in primates has been subject to
selection for adaptive social functions as well as the obvious
reproductive functions.
Social evolutionary processes have been a major driver of recent human cognition and behavior (Eisenberg et al., 1983; Dos Santos and West, 2005); particularly selection for increased intra-group tolerance and reduced intra-group aggression (Bowles and Gintis, 2013; Hare, 2017). Prosocial individuals would have more readily accessed the fitness benefits of cooperative group living (Hare, 2017), and would have gained both greater reproductive success and social mobility (Bowles and Gintis, 2013).
Enhanced tolerance also would allow for smoother integration of
juveniles that moved from their natal group to a new group – bringing
new ideas and technology with them. Selection for prosociality is
thought to have driven the recent evolution of bonobos from their
chimp-like ancestor, and proto-dogs from their wolf-like ancestor also (Hare, 2017).
In humans, dogs, and bonobos, a common suite of traits
has evolved as a consequence of selection for prosociality. These are
juvenilization of facial features, extended cognitive developmental
periods, reduced social threat responses, reduced aggression, reduced
aggressive reactivity, cooperative play behavior, and increased
cooperative-communicative capacity and engagement (Hare, 2017; Theofanopoulou et al., 2017; Wrangham, 2019).
This set of traits is very similar to those that have arisen from
artificial selection on species for reduced aggression and fear of
humans in order to domesticate them (Belyaev et al., 1985; Hare, 2017).
Consequently, recent human evolution has been described as a process of
self-domestication arising from natural selection for prosocial
behavior (Gleeson, 2016; Hare, 2017; Niego and Benítez-Burraco, 2019; Wrangham, 2019).
Across both domesticated species and self-domesticated
species it is common to see an increase in expression of same-sex sexual
behavior. This is part of the expansion of the contexts of sexual
behavior (same-sex oriented and heterosexual) into adult play, usually
interpreted as part of an adult affiliative function for sex (Dagg, 1984; Poiani, 2011).
For example, in the evolution of dogs from wild dogs, and wild dogs
from wolves both self-domestication and domestication have increased
expression of adult sexual play and homosexual sexual behavior relative
to their wild relatives (Dagg, 1984).
While domestication of livestock has not always increased rates of
homosexual behavior, there are several well studied examples where
domestication has yielded high levels of same-sex sexual behavior among
adults (Dagg, 1984; Perkins and Roselli, 2007).
The bonobo has experienced a parallel process to humans of prosocial evolution from a chimp-like ancestor (Hare, 2017; Tan et al., 2017). Like humans, bonobos show a suite of features associated with self-domestication (Hare, 2017).
Bonobos exhibit higher levels than chimpanzees of same-sex sexual
behavior in contexts of adult play and social affiliation also (Clay and Zuberbühler, 2011; Dixon, 2011; Woods and Hare, 2011; Bailey et al., 2016; Hare and Yamamoto, 2017).
Same-sex sexual attraction, homosexual behavior and same sex affiliations are distinct dimensions of sexuality (Bolin and Whelehan, 2009; Jordan-Young, 2010; Greenberg et al., 2016; Valentova and Varella, 2016),
but they are related. SSSA is a motivator of homosexual behavior, and
sexual behavior is a strong motivator of social bonds and affiliations.
Sex is a strong reinforcer of pair bonds in all social mammals studied (Young and Wang, 2004). Sexual behavior in social contexts functions as a reinforcer of social bonds also (Kirkpatrick, 2000).
Same-sex social bonds are likely to be as important as heterosexual
social bonds for any individual operating within a social group (Kirkpatrick, 2000).
A degree of SSSA could therefore reasonably confer a selective
advantage, by facilitating engagement in sociosexual behavior with the
associated benefits of social reinforcement, affiliation, play,
appeasement, and conflict resolution (Kirkpatrick, 2000; Bártová and Valentová, 2012).
Selective benefits for SSSA could be increased ease of social bonding
and reduced intragroup conflict through a willingness to engage in or
initiate homosexual sexual play. Human ethnographic evidence points to
an adaptive benefit for SSSA in alliance formation and maintenance (Kirkpatrick, 2000; Muscarella et al., 2005).
Mechanistic analyses indicate links between increased prosociality and SSSA. Raghanti et al. (2018)
have argued that the neurochemical profile of the human striatum is
unique among primates with elevated dopamine, serotonin, and
neuropeptide Y signaling. They argue this feature evolved early in
hominid evolution and increased sensitivity to social cues to promote
empathy and affiliative behavior (Raghanti et al., 2018).
Self domestication in both dogs and humans is believed to have caused
evolutionary changes in serotonin, oxytocin and androgen systems that
regulate affiliative, threat, and aggressive behavior (Hare, 2017), and are involved in chimpanzee social affiliation (Samuni et al., 2017). These are the same endocrine systems that have been implicated in the development of human SSSA and homosexual behavior (Mustanski et al., 2002; Balthazart, 2011; Fleischman et al., 2015).
In domesticated sheep changes in these neurochemical systems have been
considered causal of increased levels of homosexual behavior (Perkins and Roselli, 2007).
Taken together, these studies suggest an overlap between the
neurochemical systems involved in affiliation and prosocial behavior and
those involved in an increased incidence of same-sex sexual behavior in
animals. Such a relationship is expected given that sex is itself a
mechanism of social bonding in mammals (Young and Wang, 2004; Young et al., 2005).
Prosociality, increased in-group tolerance and increased
social affiliation: these are extremely complex traits involving
widespread changes in behavior, anatomy, and neurophysiology (Hare, 2017; Theofanopoulou et al., 2017; Raghanti et al., 2018).
Genetic changes underlying the evolution of such traits are likely to
be complex and highly polygenic. Presently not much is known about the
genetic basis of human SSSA, but as we learn more about it, it is clear
human SSSA is also highly polygenic and a complex multicomponent trait (Mustanski et al., 2005; Prum, 2017; Sanders et al., 2017; Ganna et al., 2019; Swift-Gallant et al., 2019).
The high heritability of human SSSA is caused by a large number of
genes each with individually small effect. These genes likely contribute
to different aspects of sexuality which can assort independently (Mustanski et al., 2005; Sanders et al., 2017; Ganna et al., 2019).
Genetic models for the evolution of human SSSA should therefore reflect
this complexity and be polygenic and multicomponent, rather than
positing individual genes of large effect, as has occurred previously (Gavrilets and Rice, 2006; Rice et al., 2012).
A polygenic and additive genetic model of SSSA is
compatible with the nature and distribution of SSSA in human
populations, which features continuous variation in the degree of SSSA
from a majority reporting exclusively heterosexual attractions to a
small minority reporting exclusively homosexual attractions (Bailey et al., 2016).
Along this cline of variation individuals expressing degrees of both
homosexual and heterosexual attractions are stable sexualities and not
transitional forms (Bailey et al., 2000; Diamond, 2008; Rosenthal et al., 2012; Savin-Williams and Vrangalova, 2013).
We propose this pattern of variation could have arisen from selection
for prosociality increasing the frequency of alleles in a population
across multiple loci that contribute to prosocial behavior. This would
include alleles contributing to SSSA because of the benefits of
sociosexual same-sex behavior for same-sex social bonding and
affiliation. If a trait is highly polymorphic and polygenic [as sexual
orientation seems to be (Sanders et al., 2017; Ganna et al., 2019)]
the random recombination of genes in sexual reproduction would result
in a spectrum of heritable variation for strength of SSSA in a
population (Prum, 2017).
Given this argument one might ask why SSSA is not more common in human populations. Indeed, Kirkpatrick (2000)
wondered that bisexuality might be an adaptive optimum since it would
allow for sociosexual affiliative behavior with members of both sexes. Kirkpatrick (2000)
proposes that any reproductive disadvantage from a low level of
same-sex sexual behavior could be minor or negligible, irrespective of
the degree of SSSA associated with the behavior.
To this point we note simply that while individuals
reporting exclusive SSSA are rare in most contemporary human
populations, SSSA is not. While specific measures vary all studies
recognize that males and females reporting some degree of SSSA are
relatively common, and not rare (Kinsey et al., 1948, 1953; Kirkpatrick, 2000; Mustanski et al., 2002; Bailey et al., 2016).
Bisexuality is more common than homosexuality, but the nature of
variation in SSSA is often not well appreciated since experimentalists
are prone to force a binary dichotomy across what is in reality
continuous and multivariate variation in sexuality (Jordan-Young, 2010). There may also be cultural reasons why the degree of SSSA in populations may go under-reported.
We emphasize that our hypothesis is not that homosexual
people are domesticated, or even more prosocial than the population
average. Rather, we recognize that self-domestication has been an
important process in the recent evolution of our species as a whole.
SSSA has increased in frequency in humans as a consequence of the
self-domestication syndrome experienced by our species. If correct, this
sociosexual hypothesis comprehends the phenomenon of human SSSA as part
of broader adaptive prosocial changes in recent human cognitive and
social evolution (Burkart et al., 2009, 2014; Hare, 2017).
Two other authors have remarked on a link between SSSA and selection for prosociality: Prum (2017) and Wrangham (2019). Prum (2017)
argues that for humans female dispersal was the ancestral condition,
with females rather than males leaving their natal group. He proposes
that female SSSA could evolve as part of selection for female
prosociality to aid female introgression into a new social group and
strengthen female-female social bonds (Prum, 2017, p. 508). He further argues that male SSSA and homosexual behavior could have evolved through female mate choice (Prum, 2017).
Females may have preferred males that show a degree of SSSA since this
male trait would lessen the intensity and investment of males in sexual
and social control of females, and would subsequently have fostered the
evolution of prosocial males and more cooperative male–male and
female–male relationships (Prum, 2017, p. 509).
Wrangham (2019)
has also recognized an association between prosociality and
homosexuality, but Wrangham proposes a very different hypothesis for why
this association might be so. Wrangham (2019, p. 189) suggests human homosexuality is a maladaptive by product of selection against reactive aggression in humans. Wrangham (2019)
argues that selection for reduced reactive aggression reduced prenatal
testosterone levels in males, which resulted in a maladaptive expression
of homosexuality in a minority of males.
Models of human evolution are naturally hard, if not
impossible, to prove or disprove, but here we note that Wrangham’s
explanation for an association between homosexuality and prosociality
does not, and cannot, explain homosexuality in women. By contrast,
prosocial benefits of SSSA would be expected to apply to both
female–female social relationships and male–male social relationships (Kirkpatrick, 2000). Prum’s (2017)
evolutionary argument is interesting in many ways, not least of which
is because it proposes different (but interacting) selective pressures
for the evolution of male and female SSSA in humans. Here we have argued
a link between prosocial evolution and SSSA. Prum (2017)
recognizes this selective force for females, but considers female mate
choice the primary driver of human male SSSA, with prosociality in human
males an outcome of female mate choice. This hypothesized evolutionary
scenario is perhaps more complex than ours, but that does not mean it is
less likely. If non-prosocial species could be found in which female
mate choice had lead to the evolution of male SSSA this would lend
strong support to Prum’s (2017) model for social evolution.
Wrangham’s reasoning and evidence draw on the endocrine hypothesis for human homosexuality, which has been strongly refuted (Jordan-Young, 2010).
There are many variants of the endocrine hypothesis, but they all
propose that SSSA is caused by some malfunction or gendered
misexpression of endocrine systems considered responsible for
establishing gender-typical behavioral differences between heterosexual
males and heterosexual females (Mustanski et al., 2002; Balthazart, 2011; Rice et al., 2012; Bailey et al., 2016).
Hypotheses vary as to when or how in development a change in endocrine
systems could result in SSSA. Arguments in support of the endocrine
hypothesis come from a range of experimental manipulations of mammals,
including primates, which demonstrate a role for androgens in the
organization and development of male and female typical sexual and
social behavior, and also show that severe manipulations of endocrine
systems in early development can result in males showing female-typical
sexual behavior and vice-versa (Balthazart, 2011; Poiani, 2011).
The endocrine hypothesis does not, however, fit well to features of human SSSA (Jordan-Young, 2010).
The example of female congenital adrenal hyperplasia (CAH) is often
cited as evidence supporting an endocrine basis of human SSSA (Balthazart, 2011).
This disorder causes prenatal hypertrophy of the adrenal gland, and
consequently the developing fetus is exposed to higher than normal
levels of testosterone. Females with CAH report a higher incidence of
adult homosexual orientation than that of the population as a whole, but
most females with CAH report exclusively heterosexual attraction (Meyer-Bahlburg et al., 2008; Jordan-Young, 2010).
This would suggest that for women there is not a simple relationship
between elevated prenatal testosterone and SSSA. Further, in both animal
studies and the human cases of CAH pre- or perinatal endocrine
manipulations have consequences for the development of anatomical
secondary sexual characteristics and genital morphology. Female rhesus
monkeys given testosterone postnatally develop an enlarged clitoris (Pfaff, 1999; Dixson, 2013) and some females with CAH also develop partially masculinized genitalia (Bailey et al., 2016). There is no evidence that homosexual people (male or female) have intersex genital development (Jordan-Young, 2010; Bailey et al., 2016) suggesting it is unlikely an endocrine imbalance pre or perinatally is causal of human SSSA.
Rice and Gavrilets (Rice et al., 2012)
argued that a misexpressed epigenetic modifier of testosterone
sensitivity or insensitivity that affected development of the brain only
and not the body and genitals might possibly explain why homosexual
people show SSSA but do not have intersex bodies. This is an interesting
theory, but there is currently no evidence such a precise epigenetic
modifier of testosterone sensitivity exists in either humans or other
animals.
However, it is proposed, the endocrine hypothesis
effectively categorizes homosexuals as partially intersex: homosexual
men as partially feminized and homosexual women as partially
masculinized (Mustanski et al., 2002; Balthazart, 2011). Such a portrayal of homosexuality perpetuates discredited ideas of homosexuality as sexual inversion (Ellis and Symonds, 1896),
and the historic medical and psychological view of homosexuality as
pathological. These views of homosexuality have long since been rejected
by clinical and social psychology because in clinical psychology they
have been found to be inaccurate, unsupported, and unconstructive (Haumann, 1995; Jordan-Young, 2010; Bailey et al., 2016).
We argue that it is time for evolutionary psychology to also question
the veracity of the endocrine hypothesis for human homosexuality.
Our proposed hypothesis for human SSSA has no
requirement for sexual inversion. It would not require that SSSA be
masculine-like for females or feminine-like for males. Rather,
consideration of both an additive genetic model for SSSA and selection
on SSSA in prosocial contexts would predict a diversity of expression of
SSSA in both males and females.
We have argued that SSSA evolves as part of selection
for increased prosociality. This hypothesis is testable. If it is
correct there should be a detectable benefit to SSSA in contexts of
within-group cohesion or cooperative tasks. Some evidence already points
to a relationship between affiliation and SSSA in humans. Kirkpatrick (2000)
documents ethnographic examples of SSSA and homosexual behavior
strengthening important social affiliations in both males and females
and SSSA supporting long term supportive social bonds. Human males
self-reported a higher level of homoerotic motivation if they were
primed with words related to friendship than if they were primed with
words related to sex (Fleischman et al., 2015). This suggests that for males social affiliation is a greater releaser of SSSA than a sexual context (Fleischman et al., 2015). Whether within-group SSSA enhances cooperation and group performance to provide individual selective benefits remains to be tested, however.
Animal models could provide a powerful resource to
explore these questions. We have described how homosexual behavior is
more common in highly prosocial species than non-prosocial close
relatives. We would predict homosexual behavior to enhance cooperation,
group cohesion and performance and ultimately increase the reproductive
success of individuals that are part of a high-functioning group in
animals also. Comparing the consequences of homosexual behavior in
bonobos and chimpanzees for group function would be a test of this
hypothesis (Moscovice et al., 2019).
If the sociosexual hypothesis of SSSA evolution is
correct we would expect to see an introgression of systems causal of
human SSSA and social and affiliative behavior at both genetic and
physiological levels of analysis. As we have discussed above, current
evidence is compatible with this hypothesis, but significant gaps remain
in our understanding of the genomic and neurophysiological basis of
human sexual orientation and much work remains to be done.
Exploration of human SSSA has thus far been dominated by assumptions that the trait must be maladaptive (Bell et al., 1981; King et al., 2005; Wrangham, 2019).
It may be timely and beneficial to explore alternatives that consider
the sociosexual adaptive functions of same sex attraction and sexual
behavior, and the full spectra of expression of SSSA.
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