Race, Gender and Interuniversity Athletics: Black Female Student Athletes in Canadian Higher Education
Bibliographic record
Abstract
Despite the documented history of women's athletics and minority students' participation in Canadian postsecondary institutions, little is known about Black female student athletes and their experiences within Canadian higher education. This dearth of information is paradoxical considering the academic and athletic legacy of this subgroup, as well as the noted importance of the student experience and athletic participation within Canadian universities. The aim of the study was to gather data on the experiences of Black female undergraduate students involved in varsity athletics. The goal was to gain an understanding of their experiences as students, as athletes, and as Black women. Additionally, the study intended to help fill a gap in the existing literature on race, sport, and the student experience in the Canadian context. The study employed an intersectional framework to examine how race, gender, athleticism and the student role intersect to shape the student experience. The investigation utilized a mixed method approach consisting of an online survey and in-depth interviews. This national study included participants from each of the four Canadian Interuniversity Sport (CIS) regions. Twenty-eight Black female student athletes completed the online survey, while an additional thirty-two Black female student athletes were interviewed. The findings were divided into seven major themes: University Expectations versus Reality, Pressure and Positivity, Complex Relationships, Unique Experiences, Negotiating and Navigating, Hiding and Highlighting and Levels of Blackness. In a number of ways, the Black Canadian female student athlete's experience is similar to that of other student athletes. However, it also was found that Black female student athletes have a unique experience due to the intersection of their race, gender and athleticism. Thus, Black female student athletes have a distinct experience as they deal with racial, gender, and athletic stereotypes; the underrepresentation of Black females and Black female athletes in higher education; the intricacies of Black dating and intimate relationships; and the complex interactions within the Black communities on campus.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".