Rare Sites and White Saviours? Gendered Orientalism, Radicalization, and the Construction of Muslim Women Soccer Players in TSN’s Radical Play
Bibliographic record
Abstract
In 2016, Canada sports broadcaster TSN aired a documentary, Radical Play , which focuses on the players of football team Diverse City FC, many of whom are Muslim and wear hijabs. As posited in the documentary, following the lifting of FIFA’s ban on the wearing of the hijab, soccer became the women’s vehicle for gaining more confidence and agency, which they use to become social media “crusaders” who fight the online radicalization of girls and women. Utilizing theories of gendered Orientalism, I analyze Radical Play by exploring how Muslim sportswomen are constructed in relation to sport, radicalization, and empowerment. I argue that Radical Play frames Diverse City FC’s story through Western rescue discourses and construct a modernizing process where Muslim girls are said to be empowered by the power of Western sport. The constructed transformation of the women into radicalization informants that keep their communities’ safe acts as a preferred outcome of colonial benevolence and acceptance towards “development subjects.” While the main narrative of Radical Play is leveraged by gendered forms of Orientalism, a critical reading shows how the players voices create cracks in this overarching story that help unsettle dominant understandings of Muslim sportswomen.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.025 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".