Social Licence Comes to Greenland’s Mining Sector: Will Communities be Empowered?
Bibliographic record
Abstract
The social licence to operate is a concept that has been applied to the mining sector internationally for the past two decades. In 2017, it was raised by a number of actors as a way to reduce controversy over mining projects in Greenland. In this paper, we analyse why the concept of social licence appeared, and the legitimacy problems that it was intended to resolve despite numerous changes to Greenland’s mining approval processes. We argue that the concept was introduced primarily as a way of seeking to enhance the voices and agency of local communities in resource governance. We further ask whether, on the basis of Canadian experience where social licence has been used for much longer in natural resource governance discourse, introducing the concept into Greenland will likely lead to an empowerment of communities. We argue that the Canadian experience in this regard shows that the outcome is complex, that community empowerment can take different forms or may not occur at all. Such complexity is also likely in Greenland.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.045 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".