Canadian Centre for Mental Health and Sport (CCMHS) Position Statement: Principles of Mental Health in Competitive and High-Performance Sport
Bibliographic record
Abstract
The brave decision made by many Canadian athletes to share their experience with mental illness has fed a growing dialogue surrounding mental health in competitive and high-performance sport. To affect real change for individuals, sport culture must change to meet demands for psychologically safe, supportive, and accepting sport environments. This position statement addresses mental health in competitive and high-performance sport in Canada, presenting solutions to current challenges and laying a foundation for a unified address of mental health by the Canadian sport community. The paper emerged from the first phase of a multidisciplinary Participatory Action Research (PAR) project, in which a sport-focused mental health care model housed within the Canadian Centre for Mental Health and Sport (CCMHS) is currently being designed, implemented, and evaluated by a team of 20 stakeholders, in collaboration with several community partners and advisors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.020 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.011 | 0.018 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".