The Queen's Gambit: Race, Gender, and Feminist Reclamation of Athletic Histories
Bibliographic record
Abstract
The Queen of Basketball is a film based on the life of Lusia (Lucy) Mae Harris Stewart, a champion of US women's university basketball credited with changing the face of the sport in the 1970s. The imagery of the film shows a Delta State University, a Mississippi community, and a nation that supported Lucy's remarkable talent. At the same time, Confederate flags flew, there were no professional women's teams for her to play on after graduation, and as a woman coach, her opportunities were limited. This film provides a queen's gambit - a ‘move’ that opens up discussions about race, gender and the importance of feminist reclamations of sport histories. In this paper we share a revised panel conversation from March 7, 2023 on the role of sport in shifting social ideas of what is possible, tolerable, and celebrated; the importance of storytelling about women in sport; and how we might expect (or demand) sport to change in the future - all from the perspective of four intellectual 'queens' in Canada: sport sociologist Janelle Joseph, sport journalist Shireen Ahmed, and sport historian Ornella Nzindukiyimana, in conversation with moderator and community and sport researcher Sarah Barnes.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.041 | 0.051 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| 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".