Exploring Stakeholders’ Interpretations of Safe Sport
Bibliographic record
Abstract
In response to numerous highly publicized cases of athlete maltreatment, sport organizations have developed prevention and intervention strategies under the umbrella term of Safe Sport; however, confusion exists about what it does and does not encompass. To better understand what Safe Sport encompasses, this study sought to develop a conceptual framework of Safe Sport, informed by the perspectives of various stakeholders in sport. Using a social constructivist grounded theory approach, semi-structured interviews were conducted with forty-one participants, including athletes, coaches, sport administrators, and researchers. The results are interpreted to suggest that participants’ understanding of Safe Sport are informed by three overarching themes: environmental and physical safety, relational safety, and optimising sport, all of which are viewed as continuously evolving relative to the ever-changing context of sport and broader society. Recommendations are made to optimise sport experiences and thus prevent physical and psychological harms through a safeguarding approach that prioritizes the promotion of human rights.
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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 | 0.017 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.013 | 0.031 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".