International society of sport psychology position stand: elite athlete mental health revisited
Bibliographic record
Abstract
Athlete mental health, though long present within research and practice, has recently become a central topic area within the sport and exercise psychology field. The International Society of Sport Psychology has been at the forefront of these discussions, evidenced by a foundational position stand in 2018 and subsequent consensus statements derived from international think tanks. Within this position stand, contributors from the international community spanning five continents collaborated to present key, updated ideas and emerging concepts relating to clinical understandings of athlete mental health, trends in athlete mental health status, the role of the sport environment, mental health in relation to athlete careers, the global treatment of athlete mental health, cultural considerations in relation to understanding this topic, and nine synthesising postulates.
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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 | 0.037 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.011 | 0.019 |
| Scholarly communication | 0.020 | 0.019 |
| Open science | 0.005 | 0.019 |
| Research integrity | 0.028 | 0.058 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".