Overcoming the challenges of coaching misconduct: a case study of the implementation of the responsible coaching movement program in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose/Rationale Sports organizations face ongoing challenges to ensure safety, including concussion protocols, facility upkeep, and coaching oversight. This research explores the implementation of the Responsible Coaching Movement (RCM) to understand initiatives that maintain institutional integrity amid rising coaching misconduct.Design/Methodology/Approach Through a case study design and the use of institutional work and legitimacy, representatives from 18 national, provincial/territorial, community, and advocacy organizations were interviewed.Findings The results revealed that ceremonial activities and unconscious myths can be used to maintain the legitimacy of the institutional actors by sending the message of a safe sporting environment.Practical Implications The practical implications of this study suggests that the findings can help shape public perceptions of sports organizations and support the development of proactive strategies for managing coaches, ultimately reducing the risk of coaching misconduct.Research Contributions The findings from this research contribute to the sport management and governance literature by advancing the use of legitimacy maintenance theory to examine the impact of safe sport practices in Canada.Originality/Value The RCM’s research moves beyond the coach-athlete relationship by focusing on mechanisms used by governing bodies to ensure the Safe Sport mandate and advancing our understanding of how institutional actors maintain legitimacy.
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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 | 0.002 | 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) | 0.000 | 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 it