Industrial impacts and Indigenous representation: Some fallacies in the Sámi quest for autonomy
Bibliographic record
Abstract
While Indigenous communities in all circumpolar regions today face increasing pressure from mining companies, their influence in decision-making processes varies substantially. In Norway, the pasturelands of the reindeer-herding Sámi have huge mineral potential and new mining projects are in development. Such projects imply a domino effect, since they tend to generate infrastructures like roads, power lines, and so on. Norway enjoys a high profile as a country strongly committed to Indigenous rights; the Sámi also have their own parliamentary system. Yet to date the Sámi Parliament has been unable to halt these encroachments, a situation in part due to its composition. Because of the electoral rules and the general political position of the reindeer-herding Sámi in Norway, most of the Sámi members of parliament represent interests that run partially counter to the activities of the herders. While Indigenous political participation is territorially defined in Canada and Greenland, this is not the case in Norway.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".