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Record W3140062039 · doi:10.3917/ris.121.0039

La liaison ferroviaire Chine-Kirghizstan-Ouzbékistan : un tortueux chemin

2021· article· fr· W3140062039 on OpenAlexaff
Sijie Ren, Frédèric Lasserre

Bibliographic record

VenueRevue internationale et stratégique · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceRail transportationArtEngineeringTransport engineering

Abstract

fetched live from OpenAlex

Conçu depuis 1996, le projet de construction du chemin de fer Chine-Kirghizstan-Ouzbékistan, reliant l’Ouest du Xinjiang à l’Asie centrale via le Kirghizstan, reste encore en suspens. Malgré l’importance de cette connexion ferroviaire pour les pays concernés et les demandes massives d’infrastructures en Asie centrale, des désaccords fondamentaux, comme le tracé de la ligne au Kirghizstan, le montage financier et l’écartement des voies, freinent l’avancée du projet. Or cette liaison ferroviaire est stratégique pour la Chine dans ses projets de développement d’interconnexions vers le Moyen-Orient d’une part, et afin de fluidifier les flux de marchandises d’autre part.

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)0.000
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 score0.165
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.030
GPT teacher head0.328
Teacher spread0.298 · 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
Published2021
Admission routes1
Has abstractyes

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