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Record W2510417437 · doi:10.5604/23008741.1215402

Arctic energy policy and security of the Russian Federation

2016· article· en· W2510417437 on OpenAlexaboutno aff
Marcin Urbański

Bibliographic record

VenueSecurity and Defence Quarterly · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRussian federationArcticThe arcticPolitical sciencePoliticsContext (archaeology)EconomyGeographyLawEconomicsRegional scienceOceanography

Abstract

fetched live from OpenAlex

<i>In this article, the author examines the Arctic region in the context of the energy and security policy of the Russian Federation. The author emphasises the factors which currently influence the increasing interest in the Arctic of the countries which claim rights to this region, which are: the US, Canada, Denmark, Norway and the Russian Federation. Among the most important factors indicating the essence of the Arctic, the author points out, inter alia: plenty of energy deposits, which because of the changing climate, are more available, the size of the Arctic area and new transport routes.</i><br><br> <i>The author indicates the possibilities of using the Russian Federation policy regarding the Arctic in order to, among other things, strengthen the country’s international position. The author also presents the extent to which claiming the right to exclusive exploitation of mineral resources by the Russian Federation is the real motive of its actions and its intention to totally subordinate the Arctic area. Simultaneously, an attempt is made to answer the question whether the Arctic is likely to be a place of military conflict in the future?<i><br><br> <i>The article also examines the issues related to the legal status of the Russian Federation regarding the Arctic, the political activity of the Russian Federation in this region and the possibility of the Russian Federation exploiting energy resources in the Arctic region.</i><br><br> <i>The article brings together the issues connected with the Russian Federation and its policy in the region of the Arctic Ocean, and also portrays the importance of the Arctic in the changing international security environment.<i>

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 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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.265
Teacher spread0.256 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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