Levels and Prevalence of Mental Health Functioning in Canadian University Student-Athletes
Bibliographic record
Abstract
We examined the level and prevalence of mental health functioning (MHF) in intercollegiate student-athletes from 30 Canadian universities, and the impact of time of year, gender, alcohol use, living situation, year of study, and type of sport on MHF. An online survey completed in November 2015 (N = 388) and March 2016 (n = 110) revealed that overall, MHF levels were moderate to high, and more student-athletes were flourishing than languishing. MHF levels did not significantly differ across time based on gender, alcohol use, living situation, year of study, and type of sport. Eighteen percent reported a previous mental illness diagnosis and yet maintained moderate MHF across time. These findings support Keyes’ (2002) dual-continua model, suggesting that the presence of mental illness does not automatically imply low levels of well-being and languishing. Nonetheless, those without a previous diagnosis were 3.18 times more likely to be flourishing at Time 1 (November 2015).
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 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".