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Record W123876892 · doi:10.4000/eps.1025

A Comparative Study of Portuguese Homebuyers’ Suburbanization in the Toronto and Montreal Areas

2006· article· en· W123876892 on OpenAlexaffabout
Carlos Teixeira

Bibliographic record

VenueEspace populations sociétés · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British Columbia
Fundersnot available
KeywordsSuburbanizationHumanitiesPortugueseImmigrationPolitical scienceSociologyArtDemographyPopulationPhilosophy

Abstract

fetched live from OpenAlex

Cet article examine l’accès à la propriété, la suburbanisation et la reségrégation des immigrants portugais dans les aires métropolitaines de Toronto et Montréal (villes de banlieue Mississauga et Laval). Les Portugais ont un groupe solidement installé à Toronto et Montréal depuis les années 1950, avec des niveaux élevés d’accès a la propriété et une forte tendance à la suburbanisation. Les Portugais présentent aussi un degré remarquablement élevé de ségrégation au sein des villes de Montréal et Toronto. Reposant sur des questionnaires collectés auprès d’immigrants portugais à Montréal en 1984 et Toronto en 1990, et re-interviewés en 2003, cet article semble indiquer que ce sont plus des facteurs d’attraction de la banlieue que des facteurs répulsifs du centre qui conduisent à la suburbanisation. Les Portugais de Mississauga et Laval sont également caractérisés par une forme d’auto-ségrégation volontaire, qui est entre autres la conséquence de leur recours a des intermédiaires ethniques portugais, en particulier des agents immobiliers, qui jouent un rôle essentiel dans ce processus de reségrégation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.855

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.092
GPT teacher head0.399
Teacher spread0.307 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2006
Admission routes2
Has abstractyes

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