Waist-to-Hip Ratio Predicts Sexual Perception and Responses to Sexual Assault Disclosures
Bibliographic record
Abstract
The current work investigates the effects of target of perception's waist-to-hip ratio (WHR) on perceivers' judgments of sexual unrestrictedness and sexual victimization prototypicality. Studies 1a and 1b found that women with lower WHRs were perceived as relatively more sexually unrestricted. Studies 2a and 2b found that women with lower WHRs were perceived as relatively more prototypic of sexual victimization. Study 3 built on these findings to consider implications for responses to sexual assault disclosures. Perceivers disbelieved and minimized a disclosure of assault relatively more when made by a woman with a higher WHR. In sum, this body of work implicates WHR as a body cue that can inform consequential sexual perception. Thereby, this work identifies factors that could influence judgments of credibility of sexual violence reports, which may have implications for hesitancy to report sexual violence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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 source (direct Gemma or distilled Codex), 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".