Alcohol and Athletics: A Study of Canadian Student-Athlete Risk
Bibliographic record
Abstract
American student-athletes (SAs) are at heightened risk for hazardous alcohol consumption compared with their nonathlete peers. However, little is known about this risk or the influence of psychosocial predictors on drinking behavior among Canadian SAs. This study compared rates of alcohol use across Canadian SAs and nonathletes and investigated whether the use of athlete-specific psychosocial predictors can improve the prediction of alcohol use outcomes in SAs. Participants (179 varsity athletes and 366 nonathletes) completed anonymous self-report questionnaires. Results suggest that Canadian athletes are at a heightened risk for experiencing alcohol-related problems compared with nonathletes, with general psychosocial predictors explaining the majority of variance in SA alcohol use. However, and quite notably, athlete-specific positive reinforcement motives predicted SA binge drinking. This research provides some of the first evidence of drinking-related problems among Canadian SAs and supports the potential use of preventative efforts to help SAs develop safe strategies for alcohol use.
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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 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".