Understanding Students’ Protective Behaviours Across Drinking Contexts
Bibliographic record
Abstract
Protective behavioural strategies (PBS) for alcohol use are being widely studied to encourage safe and responsible drinking practices for student populations (Peterson et al., 2021), including harm reduction, limiting, and manner of drinking strategies. Contexts such as planned versus unplanned drinking days, as well as social and solitary drinking, may influence PBS use. The current study uses surveys (EMA) administered over 14 weeks between Thursdays and Sundays to test whether drinking contexts are related to students' use of different protective strategies. Linear regression analyses were used to assess whether the type of drinking day (planned vs. unplanned) interacts with social and solitary contexts to predict PBS use. Findings suggest that students drinking on planned days used more protective strategies across all three categories, with social drinking predicting greater PBS use across both unplanned and planned days. Future research should explore the efficacy of strategies with context-specificity to develop targeted interventions and policies to address the challenges associated with drinking among students.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".