The extractives industry: (un)likely and (un)welcome partners in regenerating Indigenous cultures in Canada?
Bibliographic record
Abstract
In this paper, we critically examine the ways in which the extractives industry in Canada is engaging in partnerships with Indigenous-led organizations that promote Indigenous cultural practices through leisure and cultural programmes. We examined two cases in Canada, the Northwest Territories On The Land Collaborative that partners with Dominion Diamond and Diavik Diamond Mines, and the Urban Native Youth Association, an organization that is partnering with Suncor Energy Inc. to develop a Native Youth Centre in Vancouver, British Columbia. Our findings reveal that these extractives companies are being framed as positive partners for the regeneration of Indigenous cultures in Canada, while at the same time continuing to have negative environmental and social impacts on Indigenous communities. These findings build on a growing critical consensus that corporate social responsibility practices are part of a strategy that allows corporations to gain legitimacy and access to resources whilst protecting their economic bottom line.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".