“He Could Be Dangerous”: Orientalism, Deradicalization, and the Representation of Refugee Muslim Boxers in TSN’s Radical Play
Bibliographic record
Abstract
In April 2016, TSN (The Sports Network), one of Canada’s most prominent broadcasting stations, aired a documentary miniseries, Radical Play, that describes how European organizations are “harnessing sport to prevent isolated Muslim youth from joining extremist groups.” The documentary focuses on Younes, a 17-year-old refugee in Hamburg, Germany, who has been recruited to participate in a deradicalization program run through a local boxing gym. This article offers a contextualized reading of Radical Play that explores how the problem of radicalization is constructed in the Canadian context, how sport is positioned in relation to deradicalization projects, and how deeply held beliefs about Muslim boys and men are communicated to Canadians through sporting discourses.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.044 | 0.061 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".