Predictors of Relationship Abuse Among Young 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
The authors tested a social learning model of men's (N = 585) relationship abuse among a sample of first- and second-year university students. As predicted, structural equation model (SEM) analyses confirmed that violence in the family of origin was associated with men's negative beliefs about gender roles and acceptance of interpersonal violence. These beliefs in turn were associated with reports of friends who also had negative beliefs about gender roles and were abusive in their relationships with peers. Having abusive friends was associated with the participants' own levels of violence in their relationships. Family-of-origin violence was also found to have a direct effect on the levels of violence in participants' own relationships with women. Participants' negative beliefs regarding gender and interpersonal violence were found to have a direct effect on their use of violence in their relationships. This model accounted for 79% of the variance in men's relationship abuse.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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