MétaCan
Menu
Back to cohort
Record W2996363138 · doi:10.1177/0011392119892668

Urban sustainability policies in neoliberal Canada: Room for social equity?

2019· article· en· W2996363138 on OpenAlexafffundabout
David Champagne

Bibliographic record

VenueCurrent Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSustainabilityEquity (law)PoliticsSocial equalityNeoliberalism (international relations)Economic growthPolitical economyCorporate governanceSociologyEconomicsPolitical scienceMarket economyLaw

Abstract

fetched live from OpenAlex

A growing concern worldwide is whether or not urban sustainability policies promote social equity. In Western countries, sustainability policies are at the forefront of an emerging regime of urban governance. While some researchers have shown how such policies support, counter or ride along with predominant neoliberal trends, others suggest that they may form a beacon for progressive politics. However, these studies do not investigate whether the political economy of urban sustainability policies promotes equity on a national scale. The present article addresses this gap by investigating ‘sustainable city’ discourses in 11 Canadian municipalities. Contrary to recurring hopes, these policies do not fully embrace a return to social equity. Instead, they overwhelmingly privilege a form of ‘environmental neoliberalism’ by focusing on a creative, educated and professionalized urban community. The article examines how these policy discourses conceive social equity around the themes of economic growth, housing, income and democratic participation. Today’s urban compromise leaves little room for social equity.

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.021
Scholarly communication0.0090.003
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.045
GPT teacher head0.381
Teacher spread0.336 · 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

Citations9
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueCurrent SociologySame topicUrban Planning and GovernanceFrench-language works237,207