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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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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