Exploring the Underlying Constructs of Rape Cognition Scales and Their Relationships with Sexual Aggression
Bibliographic record
Abstract
This study attempted to replicate and extend past research by examining whether the Rape Myth Acceptance Scale, RAPE Scale, and Illinois Rape Myth Acceptance are assessing the same general construct or multiple distinct constructs by entering all items into one exploratory factor analysis (EFA). Complete scores on all three measures from 191 men from the community were entered into the EFA, which resulted in one interpretable factor, suggesting that these measures were assessing the same general construct of rape cognition. The factor was also significantly correlated with self-reported measures of past and future likelihood of sexual aggression (i.e., Sexual Experiences Survey – Tactics Version – Revised and the Proclivity – Sexual Experiences Survey – Tactics Version – Revised). This suggests that the general construct assessed by measures of rape cognition is related to sexually aggressive behaviours. Possible explanations for the current findings are discussed.
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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".