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Record W3170333284 · doi:10.7202/1077510ar

Le vecteur asiatique : leurre ou atout de la puissance russe ?

2021· article· fr· W3170333284 on OpenAlexvenueno aff
Isabelle Facon

Bibliographic record

VenueÉtudes internationales · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicCentral Asia Education and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

D’une manière générale, l’intention affichée depuis plusieurs années par Moscou de rééquilibrer sa diplomatie et ses relations économiques extérieures au profit du « vecteur asiatique » suscite le scepticisme. Dans les pays occidentaux, ce rééquilibrage est fréquemment considéré comme étant essentiellement le produit de la crise des rapports stratégiques entre la Russie et la communauté euro-atlantique après l’annexion de la Crimée en 2014. Experts et chercheurs russes, quant à eux, semblent également perplexes. Cependant, et pour difficile qu’il soit, le « pivot asiatique » de la Russie mérite attention, car il correspond pour ce pays à des enjeux ayant trait à la fois à sa sécurité et à son statut revendiqué de grande puissance. La question est de savoir si la Russie joue au mieux les possibilités ouvertes par un contexte asiatique qui lui est apparemment un peu plus favorable.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.008
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.020
GPT teacher head0.329
Teacher spread0.309 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueÉtudes internationalesSame topicCentral Asia Education and CultureFrench-language works237,207