Managing a Sport Organization: The Impact of Recruiting, Selecting, and Retaining Elite Level Coaches in Sport
Bibliographic record
Abstract
Hockey clubs in Edmonton, Alberta, Canada are a fascinating setting to study as they merge issues related to youth sport participation and volunteerism with elite level sport development. We examine the management of elite level hockey clubs, through interviews, to understand how the organizations develop and implement processes that enable them to obtain and maintain a positive reputation through the development of elite level hockey players. The results of our analyses show that hockey clubs view the coach as a vital part of creating and maintaining a successful organizational reputation. This study makes two contributions to the sport management literature; first we extend the literature on recruitment, selecting, and retention to the sport setting by understanding how hockey clubs acquire and retain the services of the most successful and qualified volunteer hockey coaches. Second, we provide a foundation for sport managers, working in a volunteer sport participation environment, to understand how they can compete for a limited pool of successful and qualified coaches.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".