Communities of Practice as an Approach to Foster Ice Hockey Coach Development
Bibliographic record
Abstract
Literature on youth ice hockey indicates that there is a need for changes so children can play a safer game in a more fair-play environment. Throughout this paper we argue that with the existing training programs for coaches and the others involved in youth ice hockey it will be difficult to move in that direction. The adoption of values like integrity, respect, and fairness is dependent upon recognizing the importance of providing a context where participants can negotiate the meaning of these concepts and how they should be implemented. In this perspective, learning is defined as an exchange of views as opposed to the traditional perspective where learning is the result of teaching. Based on Wenger's conceptual framework, when a group of people share a joint enterprise and deepen their knowledge and expertise in this area by interacting on an ongoing basis we see the emergence of a Community of Practice. The important role that communities of practice can play has been demonstrated in many areas such as education and business.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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; both teacher heads agree on what is shown here.
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".