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Record W4213128079 · doi:10.1177/00961442211069188

Mobilizing Suburban Stereotypes: The Case of Ville d’Anjou (1956-1973)

2022· article· en· W4213128079 on OpenAlexaffabout
Frédéric Mercure Jolette, Clarence Hatton‐Proulx, Sophie L. Van Neste

Bibliographic record

VenueJournal of Urban History · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsMetropolitan areaIdeal (ethics)PoliticsAutonomyBourgeoisieSociologyGentrificationRepresentation (politics)Economic geographyPolitical scienceGeographyEconomic growthEconomicsLawArchaeology

Abstract

fetched live from OpenAlex

In this article, we examine how in the 1960s the political leadership in Anjou, a suburban community in the Greater Montreal region, cultivated the stereotypical ideal of a bourgeois residential suburb in contrast with its actual dynamics of development in the metropolitan region. Our analysis focuses on three dimensions of the suburban ideal: residential monofunctionalism, political autonomy, and an exclusive and apolitical community. For each of these dimensions, we show how Anjou’s political leadership grappled with a complex reality and adapted the suburban ideal to ensure that their community, dependent as it was on metropolitan infrastructure and a host to heavy industry, could still be considered an ideal suburb. Our contribution speaks to the material and political impacts of such representation in a more complex set of processes of suburban and metropolitan development.

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)0.002
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0430.021
Scholarly communication0.0050.002
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

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