Politics “out of place”? Making sense of conflict in sport spaces
Bibliographic record
Abstract
Despite their relevance to the function of sport and social relations, the spaces produced in and through sport practices and performances remain under-examined. Consequently, there is little engagement with the logics that are employed in sport spaces or with the shape and material form that such logics take in sport spaces. Likewise, there is only a modest sense of how social change works in and through sport space. I argue that more attention must be paid to the social spaces that are both produced through and are productive of the intersections of sport and social relations. Without this awareness, the ways in which cultural values are reproduced through game-day practices and spatialized discourses remain obscured. My discussion focuses on on-court activism of and reactions to US college basketball player Toni Smith who, in 2003, held a series of protests against the US involvement in Iraq. This case illustrates the discursive construction of sport spaces as apolitical and shows that sport space played a vital role in Smith's statement of dissent.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.019 | 0.085 |
| Scholarly communication | 0.027 | 0.021 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.005 | 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".