“There’s Not a Lot of Glory in What I Do”: Coaches’ Views on Canadian Ice Hockey and Figure Skating Development Programs for Adults
Bibliographic record
Abstract
Hockey and figure skating are iconic Canadian sports, although it would be hard to know this from the dearth of opportunities available for adults to take up these sports or improve their skills. To learn about the factors that shape adult programming in these two sports, semistructured interviews were conducted with 16 experienced Canadian hockey and figure skating coaches who work with adults. The interviews provided insight into some of the structural barriers that adult learners and their coaches face in hockey and figure skating. Participants suggest that while adult learners are an untapped market, a sport system that privileges high-performance and youth development means that few coaches can make working with adults a priority. Coaches receive little training to work with adults, and because adults are at the bottom of the hierarchy in terms of ice allocation, it is often difficult to design programs that meet their needs. The authors call for more explicit attention to adult programming in hockey and figure skating to meet demand and improve experiences for adults.
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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 | 0.001 |
| 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".