A season-long case study examining alcohol use and misuse in Canadian junior hockey
Bibliographic record
Abstract
In Canada, hockey is part of the country’s history, culture and identity, but its practice is also linked with high rates of alcohol consumption. The purpose of the present study was to conduct a season-long case study examining alcohol use and misuse in Canadian junior hockey. Data were collected throughout the 2015–2016 season through extensive observations of a junior-level team as well as semi-structured interviews conducted at three time points (i.e. beginning, middle and end of season) with five team members (i.e. two coaches and three players). The findings showed how for the participants, socialisation to alcohol within hockey began at a very young age and the physical environment (e.g. the sale of alcohol in arenas) facilitated consumption. The findings also revealed how alcohol consumption was inherently planned within hockey-related events (e.g. out-of-town tournament), sometimes superseding hockey itself. Throughout the season, the team context represented a prime setting where players were prone to exhibit childish, health compromising and illegal behaviours while under the influence of alcohol.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".