Disentangling Cognitions About Sexual Aggression
Bibliographic record
Abstract
We examined the extent to which evaluative attitudes toward sexual aggression are distinct from other cognitions regarding sexually aggressive behavior. Evaluative attitudes toward sexual aggression refer to the extent to which sexual aggression is viewed negatively or positively. In a secondary analysis of online survey data from 495 community men, exploratory factor analysis revealed that items from a measure of evaluative attitudes formed a distinct factor from items designed to measure cognitive distortions regarding rape. These findings suggest that evaluative attitudes may be distinct from cognitive distortions. Furthermore, hierarchical regression analyses indicated that evaluative attitudes explained unique variance in self-reported past sexual aggression, proclivity for sexually aggressive behavior, and likelihood to rape. If future research finds support for a causal relationship between evaluative attitudes and sexual aggression, well-established evaluative-attitude-change procedures from the social psychological literature could be adapted to address evaluative attitudes toward sexual aggression in interventions aimed at reducing sexually aggressive behavior.
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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 | 0.000 |
| 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".