The Arctic Council at 10 Years: Retrospect and Prospects
Bibliographic record
Abstract
The article provides a 10th anniversary assessment of the Arctic Council’s work, regional ocean governance arrangements, and challenges facing the Arctic Council through a two-part analysis. First, a retrospective look highlights the two phases of region-wide cooperation in the Arctic: the Arctic Environmental Protection Strategy’s creation and development, followed by the founding of the Arctic Council and the implementation of its programs and projects. Second, a prospective view is provided, in which two future realities facing the Arctic Council are discussed: ‘soft sleddings’ and ‘hard’ questions. ‘Soft sleddings’ are likely to continue at least in the near term, with the Council continuing its track as a discussional and catalytic forum rather than a regulatory or decision-making entity. Hard questions will increasingly face the Council and its constituents — questions regarding whether a treaty framework is needed to strengthen regional cooperation and, if so, a determination of the type of treaty arrangements and provisions that are most appropriate for the Arctic.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".