Do Risky Drinking and Cannabis Use Motives Mediate the Links Between Bullying Involvement and Substance Use Harms Among Emerging Adults?
Bibliographic record
Abstract
Individual motivations for substance use may help to explain the link between bullying involvement and harmful substance use among emerging adults. This study investigated mediational pathways between bullying involvement (victimization and perpetration) and alcohol/cannabis use harms via risky alcohol/cannabis use motives (coping-anxiety, coping-depression, enhancement, and conformity). Data came from a cross-sectional, self-report survey administered to 1898 undergraduate students in first or second year across five post-secondary Canadian institutions. Mediation analyses indicated that risky drinking and cannabis use motives mediated links between bullying involvement and harmful use of each substance. In general, coping and conformity motives emerged as mediators for victimization-harmful use links, whereas enhancement and conformity motives emerged as mediators for perpetration-harmful alcohol use links. Results may have implications for supporting vulnerable emerging adults.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".