The folding of sport space into carceral space: On the making of prisoners’ experiences and lives
Bibliographic record
Abstract
Sport and exercise are prominent activities in the daily routines of prisoners around the world, yet the spatial significance of these activities in carceral environments has not been deeply investigated. With a focus on the experiences of former federal prisoners in Canada, this paper addresses this scholarly gap by bringing together emerging trends in the literatures on sociology of sport, sports geography, and carceral geography to investigate the complex social meanings of prison sport and exercise. Specifically, we explore the folding of sports space into carceral space, often with the effect of reinforcing violent and exclusionary situations, but which also helps construct alternative spatial and temporal realities. Indeed, our overarching theoretical analysis considers how prisoners use sport to produce space in ways that assert a limited degree of agency over their daily lives and temporarily transcend their unpleasant conditions of confinement. By drawing from diverse theoretical frameworks and literatures, we advance novel arguments about the socio‐spatial significance of sport in prisons and raise some important questions for further research.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.030 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".