Rape myth acceptance, sexism, and mental representations of women who have experienced sexual assault
Bibliographic record
Abstract
Despite being exceedingly common, individuals who have experienced sexual assault are often hesitant to report an assault to friends, family, or police in fear of being disbelieved. People who endorse rape myths and sexist attitudes are less likely to believe disclosures, and survivors who violate stereotypes of how they should look or act are met with skepticism. However, little is known about whether or how stereotypes regarding sexual assault survivors vary from person to person. The current study used a novel technique to generate images that approximate individuals’ mental representations of a woman who disclosed an experience of sexual assault. Results demonstrated that individuals who endorsed more rape myths and sexist attitudes were more likely to stereotype a woman who had experienced a sexual assault as relatively untrustworthy and invulnerable. Findings highlight a novel mechanism for explaining how attitudes might manifest into skeptical responses of survivor disclosures; potential implications for interventions are discussed.
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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 | 0.001 | 0.001 |
| 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".