Racialized Women in Sport in Canada: A Scoping Review
Bibliographic record
Abstract
BACKGROUND: This scoping literature review examines: What literature exists about the sport and physical activity experiences of racialized cis and trans women, adolescents, and girls in Canada? METHODS: English language peer-reviewed articles, book chapters, and gray literature published January 1, 2000, up to May 31, 2020, were examined. The databases used were SPORTDiscus via EBSCO, Sociological Abstracts, Sport Medicine and Education Index, and Google Scholar. The 42 studies and 15 gray literatures found included 1430 participants explicitly specified as racialized women/girl participants. RESULTS: There was a paucity of literature on the topic overall with none (n = 0) focused on experiences of racialized trans women. The limited research notes some successful programs that address racialized women's needs. However, the research also shows widespread experiences of discrimination against women based on racial group and language and limited access to culturally relevant or welcoming sporting opportunities, such as women-only programs and spaces. CONCLUSIONS: Much more research should be done to disaggregate "immigrants" into specific racial and ethnic groups, attend to intersectional identities and barriers, understand a wide range of involvement (eg, including coaching, high performance sport, recreation, exercise, university sport, mentorship programs), document racism and White privilege, and describe the joys of participation in sport for racialized women.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".