International law and governance of the arctic in an era of climate change
Bibliographic record
Abstract
The far-reaching invasion of Ukraine by the Russian Federation on 24 February 2022 poses the greatest threat to international peace and security in Europe since the end of World War II. The unjustified attack also impacts the relations between Russia and other Arctic nations, i.e. Norway, Sweden, Finland, Iceland, Denmark, Canada, and the United States of America, all of which are members of the European Union or the North Atlantic Treaty Organization, or both. This thesis analyses the existing legal framework in the Arctic with a special focus on the region's governance and its indigenous people. It will be argued that the Arctic Council as a forum for the Arctic cooperation will continue to play a role in the future, but that international cooperation for governance in the Arctic will be very different as compared to the last three decades. The thesis offers an extensive analysis of the Arctic's legal framework, and of the need for a comprehensive and efficient Arctic Governance Regime based on International Law and the main principles and purposes of the United Nations Charter.
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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 | 0.005 | 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 | 0.006 | 0.012 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".