Perceptions of Sexual Assault: The Expression of Gender Differences and the Impact of Target Alcohol Consumption<sup>1</sup>
Why this work is in the frame
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Bibliographic record
Abstract
This research examined the impact of defendant/complainant alcohol consumption and prior sexual history evidence on mock jurors' evaluations of a sexual assault trial. Participants ( N = 196) were provided with a simulated trial in which the beverage consumption of both targets and the sexual history between them was manipulated. The results displayed a complex interplay between target beverage consumption and gender of participant. Typically observed gender effects—that is, women, compared to men, were more supportive of the complainant and less supportive of the defendant—was contingent upon target beverage consumption. Depending on how aggressive participants perceived the defendant to be, women were more sympathetic to the complainant, with this being contingent upon complainants' and defendants' beverage consumption.
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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 | 0.002 | 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 | 0.002 |
| 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 it