Prevalence of teen dating victimization among a representative sample of high school students in Quebec
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: The present study aimed to (1) examine prevalence rates and frequency of dating violence victimization among a representative sample of Quebec high school adolescents and (2) explore possible gender differences in these rates as well as in perceived impact of victimization. METHOD: A sample of 8,194 students completed questionnaires evaluating dating victimization in the past 12 months as well as perceived impacts. RESULTS: Results show that psychological violence is the most frequent form of dating victimization reported. Girls are more likely to report experiences of psychological, physical, threatening behaviors as well as sexual dating victimization than boys. Analyses on different indicators of the impact of victimization (i.e. feelings of fear, distress and post-traumatic stress symptoms) reveal that teenage girls are more vulnerable to sustaining more pervasive impacts than boys. CONCLUSIONS: The findings underscore dating violence as a prevalent public health problem. A significant number of teens report dating victimization with girls more likely than boys to perceive negative impacts associated with the coercive behaviors experienced.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".