Organizational Systems in British Sport and Their Impact on Athlete Development and Mental Health
Bibliographic record
Abstract
Sport organizations have been noted as pivotal to the success or failure of athletes, and sport environments can impact the well-being and development of athletes. In this study, the authors explored stakeholders’ perceptions of how high-performance sport organizations support athlete development. Semistructured interviews were conducted with 18 stakeholders from the United Kingdom’s high-performance sport system and transcripts were analyzed using a semantic thematic analysis. Participants emphasized the importance of performance lifestyle advisors, sport psychologists, and financial assistance for promoting athlete development. Several stakeholders observed that despite the extensive support available to athletes, many do not engage with available support, and the prevalence of a performance narrative has led to an environment that discourages holistic development. It follows that sport organizations could develop alternative strategies for promoting athletes’ access to and engagement with available supports, while funding agencies might broaden existing funding criteria to include well-being or athlete development targets.
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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 | 0.001 | 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) | 0.001 | 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".