Beyond Reconciliation: Calling for Land-Based Analyses in the Sociology of Sport
Bibliographic record
Abstract
This article examines the possibilities engendered by land-based analyses within the sociology of sport. We examine how “Canada’s” Truth and Reconciliation Commission’s calls to action on sport reproduce a logic of social inclusion, one which assimilates Indigenous athletes and Peoples into settler models of sport. To consider epistemological tools for unsettling settler sport systems, we turn to critical Indigenous scholarship on land-based analyses and pedagogies. To illustrate the possibilities of land-based analyses, we examine lacrosse, an Indigenous sporting practice with roots embedded in relational interconnectedness with the land. A land-based approach to sport offers opportunities for revising the assumptions, values, and ethics underpinning settler models of sport through, for example, emphasizing the importance of community, healing, and land stewardship.
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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 | 0.022 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.015 | 0.153 |
| Scholarly communication | 0.017 | 0.024 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.006 | 0.008 |
| 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".