Navigating a White, Male Space: The Lived Experiences of Black, Female Ice Hockey Fans
Bibliographic record
Abstract
With few exceptions, researchers have seldom explored the experiences of any female sport fan who may be identified as a member of a racial minority. Given related calls for further research, an examination into the lived experiences of ice hockey fans who identify as Black and female was undertaken. Interviews with 18 such fans revealed that the sport and its fandom were akin to ‘White spaces’: therein, participants were keenly aware of their minoritized place; subject to racial and gender stereotyping and discrimination; and prone to experiencing exclusion and trepidation. Conversely, interactions with the Black Girl Hockey Club, an organization devoted to making ice hockey more diverse and accessible, provoked feelings of belongingness and validation; and afforded a means through which interviewees could deepen their engagement with the sport. The research participants’ lived experiences ultimately point to the need for organizations and managers to construct more inclusive spaces.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".