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Record W1533342032 · doi:10.4000/echogeo.14242

Les espaces chinois de Kolkata : simples marges convoitées dans une grande ville indienne ou support des influences singapouriennes et chinoises ?

2015· article· fr· W1533342032 on OpenAlexaff
Catherine Guéguen

Bibliographic record

VenueEchoGéo · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsPrairie Women's Health Centre of Excellence
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La communauté chinoise de Kolkata présente un portrait peu courant parmi les communautés chinoises outre-mer : elle est en déclin démographique (moins de 5 000 personnes aujourd'hui) et ses espaces, pourtant porteurs de prospérité économique jusque dans les années 1960, sont en proie à des mutations que la communauté ne contrôle que partiellement. La conversion du quartier des tanneries Tangra en zone axée sur la restauration ne semble qu'une solution provisoire face aux appétits d'entreprises immobilières sous couvert de patrimonialisation. Ces quartiers chinois révèlent d'autres enjeux : les uns sont diplomatiques et concernent la Chine continentale, les autres relèvent de la circulation des modèles de quartier chinois inspirés par Singapour. Les espaces de la communauté chinoise de Kolkata en déprise pour tout observateur génèrent des enjeux dépassant l'échelle locale: enjeu d'une présence en Inde pour la Chine continentale, diffusion d'un modèle de développement associé à la modernité de Singapour pour les autorités municipales de Kolkata.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.998

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.081
GPT teacher head0.352
Teacher spread0.271 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

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