Understanding the hesitancy to disclose teen dating violence: Correlates of self-efficacy to deal with teen dating violence
Bibliographic record
Abstract
Dating violence (DV) is now recognized as an important public health issue. Prevention and intervention programs are being implemented in school contexts. Such initiatives aim to raise awareness among potential victims and offenders as well as among peer bystanders and offer adequate interventions following disclosure. Yet, a major challenge remains as teenagers may not disclose their victimization or may not feel self-efficient to deal with DV if they witness such violence. As such, teen DV remains largely hidden. A representative sample of 8194 students (age 14-18) in the province of Quebec, Canada was used to explore teenagers’ self-efficacy to reach out for help or to help others in a situation of DV victimization and perpetration. Analyses are conducted to identify possible correlates of self-efficacy in terms of socio-demographic variable (sex, age) and a history of child sexual abuse and dating victimization. Implications for prevention and support strategies are discussed.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".