The Perspective of Ontario Girls’ Youth Hockey as an Alternative Sport Model
Bibliographic record
Abstract
Ice hockey is one of the most played sports by youth in Canada, and over the past twenty years, female participation rates in hockey have increased by nearly 900% (Hockey Canada, 2005; 2009). However, despite female involvement in the sport, much controversy still remains for women crossing the gender line of ‘ male stream’ (Hall, 1996) hockey. The goal of this paper is to use a case study to offer information about the dynamics of female youth hockey in terms of team play, parental interaction in the stands, and youth and parental commentary about their experiences. Through video and researcher observations, extensive field notes, and interviews, the context of female hockey was examined. Results revealed that female hockey may indeed be an environment that provides a unique experience for players. Four overarching themes emerged: 1) rule differences; 2) seriousness; 3) positive parental support; and 4) emphasis on team play and social relationships.
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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 | 0.002 | 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 | 0.001 | 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".