Corporate Engagement Strategies in Northern Mining: Boliden, Sweden and Cameco, Canada
Bibliographic record
Abstract
The role of corporations in societal outcomes continues to grow. Mining companies now face the expectation of not only providing economic benefits to communities, but act as a facilitator for social wellbeing and environmental stewardship. In the mining sector, this has placed renewed attention to defining corporate social responsibility and, in turn, how social license to operate is understood. These developments are particularly pertinent when mining operations affect Indigenous communities - where land use is central to livelihood. This study looks at the community engagement strategies of two mining companies in northern countries, Cameco (Canada) and Boliden (Sweden). By comparing their approaches, this paper explores the development of their practices over time and assess to what extent their corporate policy has translated into everyday practice and outcomes. The findings of demonstrate that high levels of trust are established when corporate approaches are built around transparency and collaboration - resulting in agreements that include long-term partnerships around socio-economic and environmental management.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".