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Record W4387715807 · doi:10.18254/s207054760027887-2

Russia and Canada in the Arctic against the backdrop of the Ukraine crisis

2023· article· en· W4387715807 on OpenAlexaboutno aff
Natalia Viakhireva

Bibliographic record

VenueRussia and America in the 21st Century · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticPolitical scienceThe arcticPoliticsInternational relationsUkrainianPresidencyEconomyGeographyLawOceanographyEconomics

Abstract

fetched live from OpenAlex

The article analyzes Russian-Canadian relations in the Arctic in the period from 2014 to 2022. Cooperation in the Arctic and the North was considered a priority area of Russian-Canadian relations in 2014-2021. However, it was repeatedly noted that despite the significant potential for interaction, there are risks due to growing negative trends in other spheres of bilateral relations and against the background of a general crisis in relations between Russia and the West. These concerns have met the reality. In the period of the Russian Presidency of the Arctic Council (2021-2023), political changes beyond the Arctic agenda took place, and marked a turning point for the Arctic Council, international cooperation in the Arctic, Russian-Canadian relations in the region. Against the background of the deepening of the Ukrainian crisis, the Arctic Council has suspended its full-scale activities, many formats of multilateral cooperation with the participation of Russia were ceased. The results of previous years of investment and economic interaction between Russia and Canada were “cancelled”, the rethinking the security issues in the Arctic region is in process. These trends influence the future nature of Russia-Canada relations in 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 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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.261
Teacher spread0.248 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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