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Record W3082025518 · doi:10.1177/2514848620952326

Contesting the greening of the urban growth machine: Ecological modernization and the promethean counter-discourse

2020· article· en· W3082025518 on OpenAlexafffundabout
Emiliano Scanu, Geneviève Cloutier, Catherine Trudelle

Bibliographic record

VenueEnvironment and Planning E Nature and Space · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversité LavalUniversité du Québec à Montréal
FundersFonds de Recherche du Québec-Société et Culture
KeywordsUrban sprawlEcological modernizationSustainabilityModernization theoryPoliticsUrban planningOpposition (politics)Corporate governancePolitical scienceUrban ecologyGreen growthPolitical economySociologyEnvironmental ethicsSustainable developmentEcologyUrbanizationEconomic growthLawEconomics

Abstract

fetched live from OpenAlex

Urban environmental governance and planning are increasingly characterized by the adoption of “sustainability fixes,” namely political compromises which try to conciliate economic and ecological goals in order to safeguard long-term growth. If sustainability fixes have been harshly criticized for being sociospatially selective, resistance to them does not always come from radical groups who demand stronger and fairer measures, but from actors who oppose the idea of sustainability because it goes against their interests, habits, or values. This paper focuses on this “contestation of the greening of the urban growth machine,” by presenting an empirical study of a sustainable mobility policy in Quebec City, Canada, which has given rise to a controversy opposing two divergent perspectives. The first is an ecological modernization discourse advocating for a green and attractive public transit system. The second is a promethean counter-discourse which supports the unconditional growth of automobility and urban sprawl. Results show that even if urban environmental policies are increasingly attuned to the “growth first” logic, they could still face strong opposition, especially from suburban and conservative interests. More generally, this paper shows that, in some contexts, sustainability fixes could be a “better than nothing” solution, namely a step toward fairer and greener cities.

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)0.001
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 score0.021
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.254
Teacher spread0.240 · 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

Citations16
Published2020
Admission routes3
Has abstractyes

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