Bibliographic record
Abstract
Paradoxically, the emergence of Arctic cooperation was assisted, to a large extent, by the fact that the region was a global periphery -albeit a theatre for strategic and geopolitical games between the big powers.The collapse of the Soviet Union contributed to the audacious 1987 speech by Mihail Gorbatshov in Murmansk, whereby he was envisaging a peaceful and environmentally sound Arctic. Towards the Ottawa DeclarationFinland picked up Gorbatshov's ideas, to see what could be followed up.Environmental concerns appeared to be the area where common understanding seemed to be wide among Arctic actors.Finland started consultations on operational level with Arctic states, getting Canada as an active partner.The first circumpolar meeting was held in Rovaniemi in 1989, followed by the first intergovernmental Arctic meeting of ministers of the environment of all Arctic states in 1991, also in Rovaniemi, where the Arctic Environmental Protection Strategy (AEPS) was adopted.This then led the way to the Ottawa Declaration and the establishment of the Arctic Council in 1996.Although the Arctic Council is lead by the Foreign Ministers, the mandate was from the outset heavily environmental.The Council has six permanent working groups -some founded already before 1996, some after that.Four working groups are directly dealing with environmental issues, and looked after by environmental authorities and experts in the eight Arctic states.
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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 | 0.031 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.025 | 0.022 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.028 | 0.026 |
| Insufficient payload (model declined to judge) | 0.030 | 0.010 |
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".