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Record W4304789305 · doi:10.1080/02723638.2022.2125668

What is progressive city building? Global expertise and local entanglements in Latin America

2022· article· en· W4304789305 on OpenAlexfundno aff
Jacob Lederman, Ryan Anders Whitney

Bibliographic record

VenueUrban Geography · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLatin AmericansPolitical scienceEconomic geographyGeographyRegional scienceLaw

Abstract

fetched live from OpenAlex

Latin American cities have emerged at the cutting edge of urban planning best practices circulated by multilateral agencies, transnational NGOs, and a cadre of celebrity architects and urbanists. Coherent with – and sometimes prompting – global trends, cities like Buenos Aires and Mexico City have dutifully built bike lanes, pedestrianized streets, and developed new public spaces amidst the frenzied global competition for a vaunted “livable,” “green,” or “sustainable” city. This paper argues that such developments can be understood as constituting a globally dominant progressive urbanism. The defining characteristic of progressive urbanism is an equity priority that lacks meaningful engagement with contentious power relations or the democratization of urban decision making. This paper delineates the scope and influence of these planning and design idioms. In so doing, it signals disjunctions with the historical practices of progressive planning and situates these changes within the broader political economy of contemporary Latin American 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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.018
Scholarly communication0.0070.003
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.282
Teacher spread0.271 · 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

Citations8
Published2022
Admission routes1
Has abstractyes

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