Evaluative Attitudes May Explain the Link Between Injunctive Norms and Sexual Aggression
Why this work is in the frame
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Bibliographic record
Abstract
The current study examined the extent to which evaluative attitudes toward sexual aggression (i.e., positive or negative evaluative judgments about sexually aggressive behavior) mediate the association between injunctive norms (i.e., extent to which peers approve or disapprove of sexually aggressive behavior) and self-reported sexual aggression against women. Participants were 200 male undergraduate students. Approximately one in four males reported engaging in at least one sexually aggressive act since the age of 16. Participants with a history of sexual aggression also reported the highest likelihood of engaging in sexually aggressive behavior in the future. We tested two separate mediation models to examine the extent to which evaluative attitudes account for the link between injunctive norms and sexual aggression: one model with self-reported history of sexual aggression as the outcome and the other with likelihood of engaging in sexually aggressive behavior as the outcome. Results showed that more positive evaluative attitudes toward sexual aggression accounted for the association between injunctive norms and self-reported history of sexual aggression. Similarly, evaluative attitudes accounted for the link between injunctive norms and self-reported likelihood of engaging in sexually aggressive behavior in the future. Overall, these findings are consistent with theoretical and empirical explanations of sexual offending and general criminal behavior; however, this is the first study to explore the relationship between injunctive norms and evaluative attitudes in the context of explaining sexually aggressive behavior. If more rigorous research establishes a causal relationship between injunctive norms, evaluative attitudes, and sexually aggressive behavior, this would suggest that targeting these factors in prevention programs may reduce sexual aggression by male undergraduate students.
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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 | 0.001 | 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 | 0.000 |
| 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 it