The Intersection of University Athletics and Mental Health: A Canadian Perspective
Bibliographic record
Abstract
Existing research indicates that Canadian student-athletes experience mental health disorders at higher rates than the general student population. However, while the mental health of American student-athletes has been extensively researched, there is limited literature available about the mental health of Canadian student-athletes. Very little is also known about the stressors associated with participating in Canadian university athletics and how these stressors differ from the US experience. Using a narrative approach, this study identifies the stressors that negatively impact the mental health of Canadian student-athletes. Fourteen student-athletes were interviewed, from a range of varsity sports (individual and team) at Canadian universities, who self-identified as having a mental health issue. Participants emphasized facing significant pressures to perform while also struggling to balance their various roles and prioritize academic outcomes. Athletic injury was also identified as a significant factor contributing to negative mental health in Canadian student-athletes. Highlighting the commonalities with American literature while also highlighting the unique experience of university sports in Canada is imperative. In doing so, how to best provide mental health services and minimize barriers to accessing support within the Canadian context might be better understood.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".