The influence of defendant race and victim physical attractiveness on juror decision-making in a sexual assault trial
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Previous research has examined separately the influence of defendant race and victim physical attractiveness on juror decision-making in sexual assault trials. The current study sought to examine the combined effects of defendant race and victim physical attractiveness in a trial of alleged acquaintance sexual assault. Mock jurors read a trial transcript in which the defendant race and victim physical attractiveness were manipulated via photographs. Results demonstrated that women were not influenced by victim attractiveness, but that men were more certain of the defendant guilt when the victim was unattractive. Defendant race and victim attractiveness interacted with regards to victim responsibility ratings – when the defendant was White, attractive victims were rated as more responsible for the alleged assault than unattractive victims; this effect was reversed for trials with a Black defendant and nonexistent for trials with an Aboriginal Canadian defendant.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| 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 it