Physical assault perpetration and victimisation among Chinese university students
Bibliographic record
Abstract
This study applies the ecological conceptual model in examining the rates and risk factors of both severe and minor physical assault perpetration and victimisation among university students in Hong Kong, Taiwan and Mainland China. Data were from the International Dating Violence Study. The analysis employed a generalised mixed effect model. Findings showed the rates of minor physical assault perpetration was 34.1% among the participants; minor victimisation was 16.2%; severe perpetration was 23.9%; and, severe physical assault victimisation was 12.5%. Female students were more likely to report minor and severe physical assault perpetration compared to males [aOR = 2.48 (1.80, 3.43), and 2.89 (1.83, 4.56), respectively, p values<0.05]. Controlling for all variables, if sexual relations were part of the dating relationship, the odds of minor and severe violence perpetration and victimisation were 1.98 and 2.23 (p values<0.05). Good anger management was associated with a 60 to 70% decrease in the odds of physical assault.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.000 | 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 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".