Bibliographic record
Abstract
Abstract The Arctic has risen on the international agenda, both for the eight Arctic states and for other actors external to the region. Security and geopolitical dynamics have developed and changed in the north. Nevertheless, one-liner predictions of a resource race or an imminent conflict do not capture the nuances of Arctic politics. When it comes to territorial or border disputes, none remains in the Arctic. The last territorial dispute—over Hans Island—was settled in 2022. When it comes to maritime boundary disputes, only one remains—namely, between Canada and the United States. Along these parameters, the Arctic is in fact remarkably defined and stable, in contrast to other maritime domains surrounded by states. There are still disputes in which states disagree over the interpretation of international law or how to manage the change in resource activity brought forth by climate change. Looking at the international relations of the Arctic, it also makes sense to separate three sets of political dynamics: regional (intra-Arctic) relations, global relations with an Arctic impact or relevance or both, and subregional security relations. Examining security relations as a subset of Arctic International Relations makes it particularly apparent that these primarily revolve around the Barents Sea or North Atlantic maritime domain and the Bering Sea or North Pacific maritime domain, linking to, but not encompassing all of, 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".