Sport for Sustainability? The Extractives Industry, Sport, and Sustainable Development
Bibliographic record
Abstract
This article investigates the intersection of three interrelated trends: first, the positioning of sport as a contributor to sustainable development, particularly in regard to the increasing corporatization of sport for development (SFD); second, the trend toward sustainable development in the extractives industry, as taken up within a corporate social responsibility (CSR) approach; and third, the intersection of SFD and CSR when mobilized in pursuit of sustainable development in Indigenous communities in Canada. To do so, we examined the sustainability documents of Rio Tinto, the largest mining and metals company in Canada, with a focus on its operations in the Canadian North that are near Indigenous communities. Based on our results, we argue that SFD programming and the CSR approaches of Rio Tinto promote forms of sustainable development that capitalize on broadened (and emptied) definitions of sustainability, which may ultimately contribute to greater forms of unsustainability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".