The gender-binary cycle: the perpetual relations between a biological-essentialist view of gender, gender ideology, and gender-labelling and sorting

Training in the implementation of sex and gender research policies: an evaluation of publicly available online courses

BACKGROUND

Recently implemented research policies requiring the inclusion of females and males have created an urgent need for effective training in how to account for sex, and in some cases gender, in biomedical studies.

METHODS

Here, we evaluated three sets of publicly available online training materials on this topic: (1) Integrating Sex & Gender in Health Research from the Canadian Institutes of Health Research (CIHR); (2) Sex as a Biological Variable: A Primer from the United States National Institutes of Health (NIH); and (3) The Sex and Gender Dimension in Biomedical Research, developed as part of "Leading Innovative measures to reach gender Balance in Research Activities" (LIBRA) from the European Commission. We reviewed each course with respect to their coverage of (1) What is required by the policy; (2) Rationale for the policy; (3) Handling of the concepts "sex" and "gender;" (4) Research design and analysis; and (5) Interpreting and reporting data.

RESULTS

All three courses discussed the importance of including males and females to better generalize results, discover potential sex differences, and tailor treatments to men and women. The entangled nature of sex and gender, operationalization of sex, and potential downsides of focusing on sex more than other sources of variation were minimally discussed. Notably, all three courses explicitly endorsed invalid analytical approaches that produce bias toward false positive discoveries of difference.

CONCLUSIONS

Our analysis suggests a need for revised or new training materials that incorporate four major topics: precise operationalization of sex, potential risks of over-emphasis on sex as a category, recognition of gender and sex as complex and entangled, and rigorous study design and data analysis.

Motivation and prediction-driven processing of social memoranda

Social semantic memory guides many aspects of behavior. Individuals rely on acquired and inferred knowledge about personal characteristics and group membership to predict the behavior and character of social targets. These predictions then determine the expectations from, the behavior in, and the interpretations of social interactions. According to predictive processing accounts, mnemonic and attentional mechanisms should enhance the processing of prediction-violating events. However, empirical findings suggest that prediction-consistent social events are often better remembered. This mini-review integrates recent evidence from social and non-social memory research to highlight the role of motivation in explaining these discrepancies. A particular emphasis is given to the continuous nature of prediction-(in)consistency, the epistemic tendency of perceivers to maintain or update their knowledge, and the dynamic influences of motivation on multiple steps in prediction-driven social memory. The suggested framework provides a coherent outlook of existing work and offers promising future directions to better understand the ebb and flow of social memoranda.

Sex contextualism in laboratory research: Enhancing rigor and precision in the study of sex-related variables

Understanding sex-related variation in health and illness requires rigorous and precise approaches to revealing underlying mechanisms. A first step is to recognize that sex is not in and of itself a causal mechanism; rather, it is a classification system comprising a set of categories, usually assigned according to a range of varying traits. Moving beyond sex as a system of classification to working with concrete and measurable sex-related variables is necessary for precision. Whether and how these sex-related variables matter-and what patterns of difference they contribute to-will vary in context-specific ways. Second, when researchers incorporate these sex-related variables into research designs, rigorous analytical methods are needed to allow strongly supported conclusions. Third, the interpretation and reporting of sex-related variation require care to ensure that basic and preclinical research advance health equity for all.

The Sexual and Gender Minority Adverse Childhood Experiences Scale

INTRODUCTION

Sexual and gender minority (SGM) adverse childhood experiences (ACEs) are identity-based forms of early life adversity. Exposure to SGM ACEs is associated with increased odds of depression, anxiety, and post-traumatic stress disorder in SGM adults. The purpose of this study was to further test a revised version of the measure in a U.S. sample with more robust and clinically relevant mental health outcomes.

METHODS

In May and June 2022, a national sample of SGM adults (N=4,445) was recruited from a Qualtrics Panel to complete a 20-minute online survey that included questions regarding ACEs, SGM ACEs, depression, anxiety, and post-traumatic stress disorder. Exploratory factor analysis and confirmatory factor analysis were used to examine factor structure. Multivariable regression was used to assess criterion validity, and a sensitivity analysis was conducted. Data were analyzed in February 2023.

RESULTS

Respondents indicate that vicarious trauma (81%) and school bullying (67%) were the most common experiences and that all SGM ACEs were frequently occurring before adulthood. Confirmatory factor analysis determined a 1-factor solution. Participants with more SGM adverse childhood experiences exposure had worse anxiety, depression, and post-traumatic stress disorder symptoms (β=0.16, β=0.18, β=0.26, respectively, p<0.0001) after controlling for ACEs exposure and demographic factors. A sensitivity analysis indicated that estimates were similar in terms of magnitude and direction.

CONCLUSIONS

SGM ACEs commonly and frequently occur before adulthood and impact adult SGM mental health. Overall, the measure had good-to-excellent psychometric properties. Future research should consider integrating SGM ACEs and Minority Stress Theory.

Biological Essentialism Correlates With (But Doesn't Cause?) Intergroup Bias

People with biological essentialist beliefs about social groups also tend to endorse biased beliefs about individuals in those groups, including intensified emphasis on the group, stereotypes, and prejudices. These correlations could be due to biological essentialism causing bias, and some experimental studies support this causal direction. Given this prior work, we expected to find that biological essentialism would lead to increased bias compared with a control condition and set out to extend this prior work in a new direction (regarding "value-based" essentialism). But although the manipulation affected essentialist beliefs and essentialist beliefs were correlated with group emphasis (Study 1), stereotyping (Studies 2, 3a, 3b, and 3c), prejudice (Studies 3a), there was no evidence that biological essentialism caused these outcomes (NTotal = 1,903). Given these findings, our initial research question became moot. We thus focus on reexamining the relationship between essentialism and bias.

Substance Use Outcomes For Sexual and Gender Minority Adults With a History of Adverse Childhood Experiences: A Scoping Review

Purpose

The impacts of Adverse Childhood Experiences (ACEs) on behavioral, mental, and physical health have been extensively investigated. As such, it is paramount to synthesize their quantified effects, especially within vulnerable populations. The goal of this scoping review was to collect, summarize, and synthesize existing research on ACEs and substance use (SU) in adult sexual and gender minority (SGM) populations.

Methods

WebofScience, APA PsychInfo, LGBTQ+ Life (EBSCO), Google Scholar, and PubMed electronic databases were searched. We included reports published between 2014 and 2022 that assessed SU outcomes, ACEs in adult (18+) SGM populations, in the United States (US). We excluded those in which SU was not an outcome, measured community-based abuse or neglect, or investigated adulthood trauma. Data were extracted using the Matrix Method and categorized across three SU outcomes.

Results

Twenty reports were included in the review. Nineteen employed a cross-sectional design and 80% focused on a single SGM group (transgender women, bisexual Latino men, etc.). Nine of 11 manuscripts found SU frequency and quantity were higher among ACE exposed participants. Three of four studies found ACE exposure to correlate with substance use problems and substance misuse. Four of five studies found ACE exposure to be correlated with substance use disorders.

Conclusions

Longitudinal research is needed to comprehend the impact of ACE on SU within the diverse subgroups of SGM adults. Investigators should prioritize the use of standard operationalizations of ACE and SU to improve comparability across studies and include diverse samples from the SGM community.

Exposing implicit biases and stereotypes in human and artificial intelligence: state of the art and challenges with a focus on gender

Biases in cognition are ubiquitous. Social psychologists suggested biases and stereotypes serve a multifarious set of cognitive goals, while at the same time stressing their potential harmfulness. Recently, biases and stereotypes became the purview of heated debates in the machine learning community too. Researchers and developers are becoming increasingly aware of the fact that some biases, like gender and race biases, are entrenched in the algorithms some AI applications rely upon. Here, taking into account several existing approaches that address the problem of implicit biases and stereotypes, we propose that a strategy to cope with this phenomenon is to unmask those found in AI systems by understanding their cognitive dimension, rather than simply trying to correct algorithms. To this extent, we present a discussion bridging together findings from cognitive science and insights from machine learning that can be integrated in a state-of-the-art semantic network. Remarkably, this resource can be of assistance to scholars (e.g., cognitive and computer scientists) while at the same time contributing to refine AI regulations affecting social life. We show how only through a thorough understanding of the cognitive processes leading to biases, and through an interdisciplinary effort, we can make the best of AI technology.

A Psychology of Ideology: Unpacking the Psychological Structure of Ideological Thinking

The psychological study of ideology has traditionally emphasized the content of ideological beliefs, guided by questions about what people believe, such as why people believe in omniscient gods or fascist worldviews. This theoretical focus has led to siloed subdisciplines separately dealing with political, religious, moral, and prejudiced attitudes. The fractionation has fostered a neglect of the cognitive structure of ideological worldviews and associated questions about why ideologies—in all their forms—are so compelling to the human mind. Here I argue that it is essential to consider the nature of ideological cognition across a multitude of ideologies. I offer a multidimensional, empirically tractable framework of ideological thinking, suggesting it can be conceptualized as a style of thinking that is rigid in its adherence to a doctrine and resistance to evidence-based belief-updating and favorably oriented toward an in-group and antagonistic to out-groups. The article identifies the subcomponents of ideological thinking and highlights that ideological thinking constitutes a meaningful psychological phenomenon that merits direct scholarly investigation and analysis. By emphasizing conceptual precision, methodological directions, and interdisciplinary integration across the political and cognitive sciences, the article illustrates the potential of this framework as a catalyst for developing a rigorous domain-general psychology of ideology.

Unisensory and Multisensory Stroop Effects Modulate Gender Differences in Verbal and Nonverbal Emotion Perception

Purpose This study aimed to examine the Stroop effects of verbal and nonverbal cues and their relative impacts on gender differences in unisensory and multisensory emotion perception. Method Experiment 1 investigated how well 88 normal Chinese adults (43 women and 45 men) could identify emotions conveyed through face, prosody and semantics as three independent channels. Experiments 2 and 3 further explored gender differences during multisensory integration of emotion through a cross-channel (prosody-semantics) and a cross-modal (face-prosody-semantics) Stroop task, respectively, in which 78 participants (41 women and 37 men) were asked to selectively attend to one of the two or three communication channels. Results The integration of accuracy and reaction time data indicated that paralinguistic cues (i.e., face and prosody) of emotions were consistently more salient than linguistic ones (i.e., semantics) throughout the study. Additionally, women demonstrated advantages in processing all three types of emotional signals in the unisensory task, but only preserved their strengths in paralinguistic processing and showed greater Stroop effects of nonverbal cues on verbal ones during multisensory perception. Conclusions These findings demonstrate clear gender differences in verbal and nonverbal emotion perception that are modulated by sensory channels, which have important theoretical and practical implications. Supplemental Material https://doi.org/10.23641/asha.16435599.

Perceiving gender while perceiving language: Integrating psycholinguistics and gender theory

There is a substantial body of literature showing that men and women speak differently and that these differences are endemic to the speech signal. However, the psycholinguistic mechanisms underlying the integration of social category perception and language are still poorly understood. Speaker attributes such as emotional state, age, sex, and race have often been treated in the literature as dissociable, but perceptual systems for social categories demonstrably rely on interdependent cognitive processes. We introduce a diversity science framework for evaluating the existing literature on gender and speech perception, arguing that differences in beliefs about gender may be defined as differences in beliefs about differences. Treating individual, group, and societal level contrasts in ideological patterns as phenomenologically distinctive, we enumerate six ideological arenas which define claims about gender and examine the literature for treatment of these issues. We argue that both participants and investigators predictably show evidence of differences in ideological attitudes toward the normative definition of persons. The influence of social knowledge on linguistic perception therefore occurs in the context of predictable variation in both attention and inattention to people and the distinguishing features which mark them salient as kinds. We link experiences of visibility, invisibility, and hypervisibility with ideological variation regarding the significance of physiological, linguistic, and social features, concluding that gender ideologies are implicated both in linguistic processing and in social judgments of value between groups. We conclude with a summary of the key gaps in the current literature and recommendations for best practices studies that may use in future investigations of socially meaningful variation in speech perception. This article is categorized under: Linguistics > Language in Mind and Brain Psychology > Language Linguistics > Language Acquisition Psychology > Perception and Psychophysics.

Computational and neurocognitive approaches to the political brain: key insights and future avenues for political neuroscience

Although the study of political behaviour has been traditionally restricted to the social sciences, new advances in political neuroscience and computational cognitive science highlight that the biological sciences can offer crucial insights into the roots of ideological thought and action. Echoing the dazzling diversity of human ideologies, this theme issue seeks to reflect the multiplicity of theoretical and methodological approaches to understanding the nature of the political brain. Cutting-edge research along three thematic strands is presented, including (i) computational approaches that zoom in on fine-grained mechanisms underlying political behaviour, (ii) neurocognitive perspectives that harness neuroimaging and psychophysiological techniques to study ideological processes, and (iii) behavioural studies and policy-minded analyses of such understandings across cultures and across ideological domains. Synthesizing these findings together, the issue elucidates core questions regarding the nature of uncertainty in political cognition, the mechanisms of social influence and the cognitive structure of ideological beliefs. This offers key directions for future biologically grounded research as well as a guiding map for citizens, psychologists and policymakers traversing the uneven landscape of modern polarization, misinformation, intolerance and dogmatism.

This article is part of the theme issue ‘The political brain: neurocognitive and computational mechanisms'.