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Record W4413127530 · doi:10.1177/01937235251364225

The Queen's Gambit: Race, Gender, and Feminist Reclamation of Athletic Histories

2025· article· en· W4413127530 on OpenAlexaffabout
Janelle Joseph, Ornella Nzindukiyimana, Sarah Barnes

Bibliographic record

VenueJournal of Sport and Social Issues · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsCanadian Museum of NatureUniversity of TorontoSt. Francis Xavier UniversityBrock University
Fundersnot available
KeywordsGambitRace (biology)Queen (butterfly)Gender studiesSociologyEngineeringSimulation

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.318
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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