Listen, Tell, Show: Recreation and the Black and Decolonial Storytelling in Sport and Physical Culture Research
Bibliographic record
Abstract
Stories are always grounded in personal, collective, and ancestral experiences and come in a variety of visual, performance, textile, and text-based forms. Physical culture participation and politics can be better understood by engaging with the stories of people facing ongoing colonial and epistemic injustices, intersectional oppressions, as well as structural and cultural racism. In contrast to dominant trends in the cultural politics of sport, this article offers an ontological, epistemological, and methodological alternative. Following Black and decolonial scholars, we must honor non-Western storytelling modalities to listen to, tell, show, and center many experiences to resist Western colonial culture's binary structures and hierarchies, introduce alternate theorizations, and inject other ways of knowing and being into the sport and physical cultures and into physical cultural studies. This article highlights several areas of Black and decolonial studies that will be essential to efforts at transformative justice in sport and sports scholarship: interdisciplinarity, the bios–mythoi relationship, counter-storytelling, and creation stories.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.041 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".