Brilliance as gender deviance: Gender-role incongruity as another barrier to women's success in academic fields
Bibliographic record
Abstract
“Brilliance,” a state of extreme intellectual ability, is stereotypically associated with men but not women. Research finds that portrayals of brilliance as a prerequisite for success contribute to women's underrepresentation in certain academic fields and high-level positions. In this work, we examined whether gender roles contribute to the perception of women as less brilliant. In four preregistered experimental studies ( N = 920), we tested whether brilliance deviates from ascribed and prescribed gender roles more for women than for men and whether such deviation places women who display their brilliance at a higher risk of experiencing backlash. In Study 1, an average intelligent and a brilliant man were rated as more similar on gender-specific traits than an average intelligent and a brilliant woman. In Study 2, while intelligence and gender individually influenced prescriptions of masculinity and femininity, their interaction did not support larger differences for female targets, indicating a lack of differential expectations by gender and intelligence. Study 3 showed that brilliant women are more likely to experience backlash at work than brilliant men, while Study 4 demonstrated that while brilliance enhances professional desirability across genders, it decreases social desirability, suggesting social costs that could affect workplace dynamics. Our results support that brilliance can be considered a form of gender-role deviance for women and might lead to a backlash. This underscores the need for policies to counteract gendered stereotypes of brilliance, which hinder women's career advancement and contribute to the gender gap in the workplace.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".