First international consensus statement on sports psychiatry
Bibliographic record
Abstract
Abstract Sports psychiatry is a young field of medicine and psychiatry that focuses on mental health among athletes, and sports and exercise within psychiatry and mental disorders. However, the development of sports psychiatry and its fields of activity vary from region to region and are not uniform yet. Sports psychiatry and the role of sports psychiatrists have also already been discussed in the field of sports and exercise medicine, and within medical teams in competitive and elite sports. A uniform definition on sports psychiatry, its fields of activity, sports psychiatrist, and the essential knowledge, skills, and abilities ( plus attitudes, eKSA +A ) of the sports psychiatrist were developed as part of an International Society for Sports Psychiatry (ISSP) Summit, as well as First International Consensus Statement on Sports Psychiatry. Three fields of activity can be distinguished within sports psychiatry: (i) mental health and disorders in competitive and elite sports, (ii) sports and exercise in prevention of and treatment for mental disorders, and (iii) mental health and sport‐specific mental disorders in recreational sports. Each of these fields have its own eKSA +A . The definitions on sports psychiatry and sports psychiatrists, as well as the framework of eKSA +A in the different fields of activity of sports psychiatrists will help to unify and standardize the future development of sports psychiatry, establish a standard of service within sports psychiatry and together with the neighboring disciplines, and should be included into current, and future sports psychiatry education and training.
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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 | 0.060 | 0.099 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.010 | 0.010 |
| Research integrity | 0.023 | 0.023 |
| Insufficient payload (model declined to judge) | 0.013 | 0.011 |
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".