Environmental security and Indigenous peoples: perspectives from the Arctic
Bibliographic record
Abstract
The Arctic region has recently received renewed attention because of the effects of climate change and the prioritisation of the threats posed by it in the security policies of the Arctic states. The consequences of climate change, however, most severely affect the indigenous peoples that inhabit the territories of the Arctic states, which perspectives have usually been excluded from security studies. While in some ways ahead of other indigenous peoples of the world in terms of rights to autonomy and self-determination, this dissertation will present how colonial mechanisms still persists in the relationship between the indigenous communities and their national governments, and how this contributes to their insecurities. In particular, the focus will be on the relations between Canada and its Inuit communities, Norway and the Sámi people, and Greenland and the Inuit of Kalaallit Nunaat. The aim of this dissertation is to investigate whether indigenous perspectives of security correspond to and are reflected in the security policies of the Arctic states they inhabit. It will do so while at the same time analysing whether climate change and its rise in importance in terms of security concerns has helped to overcome the colonial heritage in the relationship between Arctic states' governments and their...
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".