Consensus statement on improving the mental health of high performance athletes
Bibliographic record
Abstract
This consensus statement is the product of an international Think Tank on the initiative of the International Society of Sport Psychology. The purpose of the Think Tank was to unify major sport psychology organizations in a discussion of the current status and future challenges of applied and research aspects of athlete mental health. The contributors present six propositions and recommendations to inspire sport organizations and researchers. The propositions are: Mental health is a core component of a culture of excellence; Mental health in a sport context should be better defined; Research on mental health in sport should broaden the scope of assessment; Athlete mental health is a major resource for the whole athletic career and life post-athletic career; The environment can nourish or malnourish athlete mental health; and Mental health is everybody’s business but should be overseen by one or a few specified members. It is recommended that researchers unite to develop a more contextualized definition of athlete mental health and more comprehensive strategies of assessment, as well as join forces with sporting organizations to investigate sustainable elite sport environments and the role of the mental health officer. Sport organizations are advised to recognize athlete mental health as a core component of a healthy elite sport system and a key indicator of their effectiveness, support research initiatives, and to promote the mental health literacy of all their staff while engaging a mental health officer with the responsibility to oversee a support system.
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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 | 0.069 | 0.122 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.009 | 0.010 |
| Research integrity | 0.030 | 0.040 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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".