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Record W4293126058 · doi:10.7202/1088095ar

Le double écart

2021· article· fr· W4293126058 on OpenAlexvenueno aff
Pascale Dietrich‐Ragon, Camille François, Anne Lambert, Lydie Launay

Bibliographic record

VenueLien social et Politiques · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le rééquilibrage territorial en matière de logement social s’est imposé depuis les années 2000 comme un nouvel outil de l’action publique pour lutter contre la ségrégation urbaine. Dans les grandes métropoles soumises au renchérissement des prix immobiliers, des logements sociaux sont construits au coeur des quartiers bourgeois où leur part est historiquement faible. À partir de trois sources de données (fichiers administratifs de relogement, recensements à l’échelle infracommunale, monographies de familles relogées), cet article livre une analyse quantitative et qualitative des modalités et des conditions d’insertion des ménages relogés dans les quartiers bourgeois parisiens. Les populations relogées se distinguent non seulement des populations résidantes par des écarts de niveaux de vie et par des différences d’origine (phénomène déjà bien documenté), mais aussi du point de vue de leur structure familiale et des normes de genre. Nombreuses à être relogées dans ces quartiers, les femmes à la tête de familles monoparentales se trouvent confrontées au modèle de la famille nucléaire stable, prépondérante dans ces arrondissements, qui contrarie leurs chances et leurs expériences d’insertion locale.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.316
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0100.006
Open science0.0020.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.3160.132

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 head0.068
GPT teacher head0.341
Teacher spread0.273 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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Same venueLien social et PolitiquesSame topicFrench Urban and Social StudiesFrench-language works237,207