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The Arctic Region as an Object of Geopolitical Contradictions

2024· article· en· W4392565614 on OpenAlexaboutno aff
Rustem Narimovich Chanyshev, Rinat Raisovich Zaripov

Bibliographic record

VenueМеждународные отношения · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsObject (grammar)The arcticArcticGeographyPolitical scienceGeologyOceanographyComputer scienceArtificial intelligencePoliticsLaw

Abstract

fetched live from OpenAlex

Over the past thirty years, the world community has increased interest in the Arctic, new opportunities are emerging due to global warming, and many states have seen new prospects for their own development and strengthening their influence in the world. But non-Arctic states will have to prove the validity of their interests in order to get the right to participate in decision-making in the region. The results of many scientific studies indicate large oil and gas deposits, as well as reserves of many other types of minerals, respectively, interested countries will need to confirm the legitimacy of their rights to extract resources. With the melting of glaciers, new transport hubs are opening up, such as the NSR and NWP, which Russia and Canada seek to control, and where the United States and other countries insist that the NSR and NWP should have the status of international straits. Tensions are growing around the island of Svalbard, although the Paris Convention on Svalbard was signed in 1920, which implies Norway's sovereignty over the island, other countries have retained the right to conduct economic activities on the island, and Norway is trying to challenge this right in various ways. This paper examines hypothetical areas of cooperation and disagreements between stakeholders in the Arctic. The article describes the structure of relations between actors in the Arctic region, their problems and national interests, as well as cooperation in various fields. So countries that usually oppose each other in many regions can cooperate, sometimes even having contradictions in the Arctic, which ultimately allows us to see how many states can simultaneously converge and disagree on many issues in the Arctic. What makes this region unique in international relations.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0200.030
Scholarly communication0.0140.007
Open science0.0010.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.357
Teacher spread0.324 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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