Factors contributing to binge drinking behaviours over the course of university: a four year longitudinal study
Bibliographic record
Abstract
University administrators across Canada have noted an increase in problematic alcoholic consumption amongst their students. The current study assessed a number of factors that might contribute to such excess. Samples of 1,074 university students in 2004 and 1,820 in 2005 were drawn from the University of Guelph, Memorial University, the Mississauga and St. George campuses of the University of Toronto, Wilfrid Laurier University, and York University. Students completed a web-based survey in August of 2004 or 2005, the summer prior to their first year of university, and at five additional points throughout their first four years of university. Results indicate that students' inefficient time management, successful social-emotional adjustment to university, and the number of peers students live with were all associated with higher rates of drinking over the first four years of university. The strongest predictor of university drinking, however, was high school drinking, even after four years of university.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".