Opportunities Denied: The Divergent Resonance of Opportunity for Indigenous and Non-Indigenous Hockey Players With the Now-Disbanded Beardy’s Blackhawks
Bibliographic record
Abstract
For 25 years, the Beardy’s Blackhawks were Canada’s only U18 AAA hockey team located on and operated by a First Nation. The team encouraged young, Indigenous athletes to take pride in their cultural heritage and offered a sense of belonging and acceptance while also providing an opportunity for non-Indigenous players to play in such an environment. In 2019, the Saskatchewan Hockey Association made the decision to eliminate the Blackhawks from the league, describing their removal as a need to address “league concerns” related to billeting and younger player development. The purpose of this article is to analyze differences in how opportunity is understood and experienced by final-roster players (2019/2020 hockey season) and past alumni and, particularly, how it diverged across racial and cultural axes. What is found through semistructured interviews is that the concept of opportunity shifts between Indigenous and non-Indigenous players: Whereas Indigenous players tend to view opportunity in relation to cultural pride, non-Indigenous players view opportunity primarily in relation to future hockey opportunities. We argue that specific elite sporting opportunities that are characterized by Indigenous values are needed for a greater and more diverse range of Indigenous athletes to succeed in elite sport.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.016 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".