Establishing a “Safety Net”: Exploring the Emergence and Maintenance of College Hockey Inc. and NCAA Division I Hockey
Bibliographic record
Abstract
National Collegiate Athletics Association (NCAA) Division I schools compete with the Canadian Hockey League for top Canadian youth minor hockey players (ages 14–18). To address the challenges of adhering to NCAA’s eligibility and recruitment regulations, the NCAA commissioners created College Hockey Inc. (CHI). One challenge facing new institutions such as CHI is establishing legitimacy as a means of penetrating a crowded organizational field. In this paper we examine what forces, actions, and events contributed to the creation of CHI and what forces, actions, or events contribute to maintaining CHI’s relevance in their attempt to leverage NCAA Division I hockey with Canadian players and parents. Educational Opportunities, Student Life Experiences, Player Development, and Professional Hockey Opportunities were found to be discursive strategies used by CHI to gain pragmatic legitimacy and maintain the institution. Exploration of these strategies makes a number of practical and theoretical contributions to the field of sport management.
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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 | 0.004 | 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 | 0.001 |
| 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".