The co‐occurrence of adolescent boys’ and girls’ use of psychologically, physically, and sexually abusive behaviours in their dating relationships
Bibliographic record
Abstract
We examined the co-occurrence of and risk factors for adolescent boys' and girls' self-reported use of psychologically, physically, and sexually abusive behaviours in their dating relationships. The participants were 324 boys and 309 girls in grades 7, 9, or 11 who completed surveys at school. Descriptive analyses showed that 19% of boys and 26% of girls reported having used two or more forms of dating violence. One third of students in grade 7 had already used at least one form of aggressive behaviour in this context. Canonical correlation analyses indicated that boys' and girls' use of multiple forms of dating violence were predicted by their attitudes toward and experiences with violence. After controlling for general abusiveness, boys' use of sexually abusive behaviour and girls' use of psychologically abusive behaviour were linked to specific risk factors that suggest an enactment of social scripts associated with their respective gender roles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".