Testosterone rapidly increases men’s emotion-based dehumanization of a conservatively dressed woman
Bibliographic record
Abstract
Past research has found that sexualized women are often dehumanized (i.e., attributed reduced human qualities). However, the mechanisms contributing to such dehumanization remain poorly understood. In this pre-registered experiment involving a within-subject, placebo-controlled, cross-over design, we tested whether testosterone contributes to men’s ( N = 120, age range: 18–38 years) dehumanization of women. After administration of intranasal testosterone or placebo gel, men watched a video of a woman wearing either modest (i.e., conservative) or revealing (i.e., sexualized) clothing (between-subjects factor) and then completed three subtle dehumanization tasks, measuring emotion-based, personality-based, and perceptual dehumanization. We hypothesized that testosterone would increase dehumanization, especially for men who watched the “sexualized-clothing” video. Instead, we found that, while men engaged in emotion-based dehumanization toward the sexualized woman both when they had testosterone and placebo, testosterone increased emotion-based dehumanization toward the conservatively dressed woman. Other forms of dehumanization were not affected by testosterone. We also explored whether personality (e.g., dominance) and biological (e.g., CAG repeat polymorphism) traits that have been found to moderate the effects of testosterone on some social behaviors also moderated the effects examined here, but we did not find any significant moderations. Overall, this experiment revealed a novel physiological mechanism affecting emotion-based dehumanization. • Sexualized women are often dehumanized (i.e., attributed reduced human qualities). • We tested if T affects men’s dehumanization of sexualized vs. non-sexualized women. • We ran a placebo-controlled within-subject single-dose T administration experiment. • T increased men’s emotion-based dehumanization toward a non-sexualized woman. • Other measures of dehumanization were not affected by T administration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".