MétaCan
Menu
Back to cohort
Record W2147541022 · doi:10.7202/000540ar

Les banlieues de l’immigration

2003· article· fr· W2147541022 on OpenAlex

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRecherches sociographiques · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsHumanitiesPolitical scienceImmigrationArt

Abstract

fetched live from OpenAlex

La banlieue québécoise a connu d’importantes mutations au cours des dernières décennies. Plusieurs se demandent si on ne devrait pas cesser de nommer ainsi des territoires qui ressemblent de plus en plus aux quartiers des villes centres. L’hétérogénéité sociale progressive des banlieues de l’après-guerre, nourrie entre autres par l’arrivée des immigrants, est un des facteurs qui inspirent ces débats. À partir de recherches réalisées dans des quartiers de la banlieue montréalaise et de certaines données statistiques, nous verrons comment l’immigration internationale se répartit en banlieue et proposerons une typologie de ses modes d’établissement. Puis nous nous interrogerons sur la manière dont l’immigration interpelle le modèle de la banlieue, en faisant référence notamment aux philosophies des « municipalités » de banlieue en matière d’intégration.

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)0.003
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.200
GPT teacher head0.365
Teacher spread0.165 · 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