Development and validation of the athletes’ rights survey
Bibliographic record
Abstract
A recognised imbalance of power exists between athletes and sporting institutions. Recent cases of systemic athlete abuse demonstrate the relationship between power disparities and harassment and abuse in sport. Embedding human rights principles into sporting institutions is a critical step towards preventing harassment and abuse in sport. In 2017, the World Players Association (WPA) launched the Universal Declaration of Player Rights. A year later, the International Olympic Committee (IOC) developed their Athletes' Rights and Responsibilities Declaration. These two documents codify benchmarks 'for international sporting organisations to meet their obligations to protect, respect and guarantee the fundamental rights of players'. This paper is the first project exploring athletes' knowledge, understanding and awareness of rights in the sports context. This study presents the development and validation of a survey investigating athletes' knowledge of these declarations, associated attitudes/beliefs and understanding of how these rights can be enacted in practice. The survey includes 10 statements of athlete rights based on the WPA and IOC declarations. Face validation was assessed by distributing the survey to 10 athletes and conducting qualitative interviews with a subgroup of four athletes. The survey was reworked into 13 statements, and the tool was validated with 611 responses through confirmatory factor analysis. Key findings include a weak correlation between athletes' knowledge and their attitudes/beliefs, and challenges with the interpretation of words such as 'pressure,' 'violence,' 'harassment' and 'intimidation.' This validation puts forward the first survey instrument to directly test athletes' knowledge, attitudes and beliefs about rights in sport.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".