Predicting Coercive Sexual Behavior Across the Lifespan in a Random Sample of Canadian Men
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
In order to end or at least reduce the amount of sexual violence in our society, it is necessary to identify the factors that play a part in men's sexual aggression against women they know. One hundred and ninety-five men ranging in age from 19 to 82 were randomly sampled from enumeration records of a small Canadian city and completed questionnaires. Overall, 73 percent of men reported never having been sexually coercive. Logistic regression analysis, using a dichotomous coercion criterion, established that childhood abuse, adolescent promiscuity, and restrictive emotionality all increased the likelihood of sexual coercion. Early sexual socialization and aspects of the male role related to emotional expressivity appear to be important in the development of coercive behavior. As such, prevention programs must be aimed at earlier interventions in families, communities, and schools.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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