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Record W3126229056 · doi:10.61953/psei.1077

Le projet de chemin de fer Chine-Kirghizstan-Ouzbékistan : défis et perspectives dans le cadre des nouvelles routes de la soie

2020· article· fr· W3126229056 on OpenAlexaff
Sijie Ren, Frédèric Lasserre

Bibliographic record

VenuePaix et sécurité européenne et internationale · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicChina's Global Influence and Migration
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Soumission à Epi-revel Dans le cadre des nouvelles routes de la soie, lancées en 2013, la Chine négocie avec le Kirghizstan un projet de construction de voie ferrée à travers le territoire kirghiz vers l’Ouzbékistan, ouvrant ainsi une nouvelle voie reliant le Xinjiang à l’Asie centrale et au-delà vers le Moyen-Orient. Ce projet est en réalité discuté depuis près de vingt ans, et bute sur deux obstacles majeurs : le coût considérable d’un tel projet à travers des massifs montagneux, et le choix du tracé, que le Kirghizstan veut optimal pour son économie. Le gouvernement kirghiz résiste aux pressions chinoises pour le moment International audience As part of the new Silk Roads, initiated in 2013, China is negotiating with Kyrgyzstan a project to build a railway through Kyrgyz territory to Uzbekistan, thus opening a new route linking Xinjiang to Central Asia, and beyond to the Middle East. This project has in fact been discussed for nearly twenty years, and comes up against two major obstacles: the considerable cost of such a project to be built through mountain ranges, and the choice of the route, which Kyrgyzstan wants optimal for its economy. The Kyrgyz government is resisting Chinese pressure for the time being.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.314
Teacher spread0.293 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

Explore more

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