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Record W2363647965 · doi:10.17585/arctic.v7.255

High North, Low Politics—Maritime Cooperation with Russia in the Arctic

2016· article· en· W2363647965 on OpenAlex
Andreas Østhagen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArctic review on law and politics · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoliticsCoast guardSovereigntyArcticMaritime boundaryThe arcticPolitical scienceNatural resourceGuard (computer science)Territorial integrityInternational watersEconomyGeographyLawOceanographyInternational lawEnvironmental protectionEconomics

Abstract

fetched live from OpenAlex

Maritime activity is increasing in the Arctic. So is bilateral cooperation across maritime borders between coast guards intent on protecting natural resources, saving lives and assisting navigation. As tensions rose between Russia and the West in 2014, due to the conflict in Ukraine, coast guard cooperation in the Bering and Barents Seas was unaffected. Why? How did the respective bilateral cooperative structures between Norway/the United States and Russia develop, and why were they deemed "too vital to cancel" in the aftermath of events in Ukraine? This article examines how the respective states have developed cooperative regimes since the 1970s, and subsequently how these regimes have come to constitute the backbone of bilateral management of these vast and invaluable maritime domains. The argument made is that the specific character of coast guards and their role as stewards of the sea separate them from other military structures, making bilateral cooperation not only valuable, but indispensable, to the management of the states’ maritime sovereignty.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.291
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it