Community as Governor: Exploring the role of Community between Industry and Government in SLO
Bibliographic record
Abstract
For many natural resource projects, the impact on Indigenous communities is a primary concern. Therefore, governance arrangements that account for the interests of companies, communities, and government are critical for the project's success. This paper looked at two successful mining projects in northern Canada, McArthur River and Diavik, to examine the governance arrangement that led to mutually beneficial outcomes. Through an analysis of interviews and documents, we assessed both governing institutions and interactions to understand how the respective companies and communities established a high level of trust. In both cases, government took a less prominent role in the management of resources, allowing the Indigenous communities to hold a stronger role in the governance of the resources. Both Indigenous communities, therefore, built partnerships with the company around socio-economic benefits along with environmental monitoring - redefining 'community' in governance arrangements.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.018 | 0.023 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 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".