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Record W2982613064 · doi:10.4000/echogeo.17952

L’Impact des corridors de la Région du Grand Mékong

2019· article· fr· W2982613064 on OpenAlexaff
Thomas Foin

Bibliographic record

VenueEchoGéo · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsImpact
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

À partir des années 1990, la Région du Grand Mékong (RGM), appuyée par la Banque Asiatique de Développement (BAD), développe l’approche des corridors dans l’objectif de favoriser l’intégration régionale en Asie du Sud-Est. Ces couloirs économiques, qui relient les centres de productions et de commerces, induisent à l’échelle des villes, de nouvelles relations de complémentarité et/ou de concurrence et une redéfinition de leurs fonctions urbaines. Due à sa localisation sur le corridor Nord-Sud, la ville de Chiang Rai, située au Nord de la Thaïlande, a connu un processus de reconfiguration urbaine et une spécialisation de ses fonctions politico-économiques. L’étude de ces récentes dynamiques permet de définir Chiang Rai comme une ville paire.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.003

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 head0.014
GPT teacher head0.318
Teacher spread0.305 · 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; both teacher heads agree on what is shown here.

Study designObservational
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 routes1
Has abstractyes

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