Bibliographic record
Abstract
The Arctic has been conceptualised as a zone of geopolitical competition, an international zone of peace and the dreamlike realm for extractive industries. While states such as Russia and the United States have commenced a militarisation and nuclearisation of the Arctic, other Arctic states like Canada and Norway have mobilised support for Arctic cooperation. Due to changing geopolitical pressures, the desecuritisation of the Arctic in the late 1980s was not successful. This lack of attainment begs the question as to why today, the Arctic seems to be heating up faster than ever. This article aims to determine how the Arctic is conceptualised as a zone of conflict by the United States and Russia. In doing so, the article examines different analytical dimensions that play a role in this conceptualisation, including the changing natural environment, evolving historical context such as the changing power dynamics between countries, and domestic politics. These different framings of a securitised Arctic help to explain how and why security becomes involved in Arctic discourse. To do so, I draw upon discourses in target states and examine the extent to which these particular discourses are manifested in practice and build on critical geopolitics.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.043 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| 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".