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Record W2339679068 · doi:10.36939/cjur/vol24no2/art14

More Continuity than Change? Re-evaluating the Contemporary Socio-economic and Housing Characteristics of Suburbs

2016· article· en· W2339679068 on OpenAlexafffundvenueabout
Markus Moos, Pablo Martí­n Méndez, Liam P. McGuire, Elvin Wyly, Anna Kramer, Robert Walter-Joseph, Mark Williamson

Bibliographic record

VenueCanadian journal of urban research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsUniversity of British ColumbiaUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSuburbanizationUrban sprawlMetropolitan areaPoliticsGeographyEquity (law)Social equalityEconomic growthPolitical scienceWorld War IIDevelopment economicsEconomic geographyUrban planningSociologyEconomics

Abstract

fetched live from OpenAlex

Suburbs that developed in metropolitan Canada post-World War II have historically been depicted as homogeneous landscapes of gendered domesticity, detached housing, White middle-class nuclear families, and heavy automobile use. We find that key features of this historical popular image do in fact persist across the nation’s contemporary metropolitan landscape, particularly at the expanding fringes and in mid-sized cities near the largest metropolitan areas. Th e findings reflect suburbanization into new areas, point to enduring social exclusion, and recall the negative environmental consequences arising from suburban ways of living such as widespread automobile use and continuing sprawl. However, the analysis also points to the internal diversity thatmarks suburbanization today and to the growing presence of suburban ways of living in central areas. Our results suggest that planning policies promoting intensification and targeting social equity objectives are likely to remain ineff ective if society fails to challenge directly the political, economic and socio-cultural drivers behind the kind of suburban ways of living that fit popular imaginings of post-World War II suburbs in central areas. Our results suggest that planning policies promoting intensification and targeting social equity objectives are likely to remain ineffective if society fails to challenge directly the political, economic and socio-cultural drivers behind the kind of suburban ways of living that fit popular imaginings of post-World War II suburbs.

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)0.008
metaresearch head score (Gemma)0.002
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 score0.032
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.250
GPT teacher head0.412
Teacher spread0.162 · 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

Citations11
Published2016
Admission routes4
Has abstractyes

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