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Record W2993524840 · doi:10.18192/clg-cgl.v6i1.4553

La réactivation des Routes de la soie par la Chine : une nouvelle marginalisation de l’Europe

2019· article· fr· W2993524840 on OpenAlexaffvenue
Aurélie Lacassagne

Bibliographic record

VenueCulture and Local Governance · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicChina's Global Influence and Migration
Canadian institutionsUniversité de MontréalUniversité LavalLaurentian UniversityUniversité du Québec à MontréalUniversity of OttawaInstitute on Governance
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Les Routes de la soie historiques qui ont relié l’Orient et l’Occident pendant des siècles ont de tout temps revêtu des dimensions politiques, économiques, et culturelles fondamentales. Il est intéressant d’assister à la réactivation de ces routes, par la Chine notamment, au moment même où les héritiers des trois autres empires historiques de ces routes (ottoman, perse, et russe) ressurgissent sous de nouvelles formes et s’inscrivent dans une histoire sur la longue durée. On peut se poser la question de savoir si cette réémergence des Routes de la soie contribuera à un équilibre des puissances producteur de paix ou se révèlera un élément de perturbation de plus dans un monde déjà en profonde reconfiguration. Une chose semble avérer : l’existence passée et présente des routes de la soie acte la position périphérique qu’occupe l’Europe dans l’espace eurasiatique. Dans un premier temps nous reviendrons sur les imaginaires liés aux routes de la soie afin de mettre en contexte le rôle finalement marginal que l’Europe a pu jouer. Dans un deuxième temps, nous verrons comment les routes actuelles contribuent également à une périphérisation de l’Europe.

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)0.001
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 score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.006
GPT teacher head0.256
Teacher spread0.250 · 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
Published2019
Admission routes2
Has abstractyes

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