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Village dans la ville ou village imaginaire ? Communautés migrantes de Mumbai

2007· book-chapter· fr· W2484384995 on OpenAlex
Marie‐Caroline Saglio‐Yatzimirsky

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueÉditions de l’École des hautes études en sciences sociales eBooks · 2007
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesGeographyPolitical scienceEthnologySociologyArt

Abstract

fetched live from OpenAlex

Dans la ville de Mumbai se trouvent des quartiers appelés vada qui évoquent, par leur unité physique et picturale, des villages : ce sont les villages de pêcheurs et les « villages urbains » recomposés par les communautés de migrants. S’il ne s’agit pas de village au sens géographique stricto sensu, un certain nombre d’éléments de leur organisation sociale et politique permettent de rapprocher ces vada des villages ruraux. Soit le village originel est « conservé » et adapté comme dans le cas des villages de pêcheurs, soit il est « recomposé » par les migrants ; soit enfin il est « réinventé » et rêvé par le nouveau citadin. Ce sont le rôle et l’importance de ces attaches villageoises à la fois réelles et symboliques, et qui permettent circulation et migration entre villes et campagnes et intégration dans le monde urbain, qui sont ainsi soulignés.

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.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0140.060
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.318
Teacher spread0.244 · 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