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Record W4408417338 · doi:10.1177/00207152251320554

Conflictive clients and peripheral partners: How poor city-dwellers contest developer-led housing programs in two Latin American cities

2025· article· en· W4408417338 on OpenAlexvenueno aff
Carter M. Koppelman

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
FundersNational Science Foundation Graduate Research Fellowship Program
KeywordsCONTESTLatin AmericansEconomic growthBusinessSociologyPublic relationsPolitical scienceAdvertisingEconomics

Abstract

fetched live from OpenAlex

Reflecting global shifts toward privatization in social housing policies, many Latin American states have adopted the “demand-subsidy” model of state-funded but developer-led provision. While critical urbanists have shown that demand-subsidy programs consistently produce segregated, low-quality housing, this article uses comparative ethnography to examine how beneficiaries experience and contest them in different urban political contexts. The study takes a sequential approach to comparison. Beginning with an ethnographic case study of housing struggles in Santiago, Chile—the birthplace of the demand-subsidy model—the research was later expanded comparatively by following the model to São Paulo, Brazil, where it was implemented under different political conditions. The comparison reveals that popular housing organizations in both cities engaged in “contentious participation,” using confrontational protest to claim participatory voice in otherwise top-down, developer-led programs. This took different local forms as similar claims were refracted through distinct state-civil society regimes. In Santiago, a history of technocratic governance and movement demobilization left housing-seekers to organize in state-sanctioned committees and wage fragmented struggles for ad hoc participation in individual housing projects. In São Paulo, where the demand-subsidy model broke with a local history of participatory governance, consolidated networks of housing movements used mass mobilization to claim institutionalized participation in federal policy.

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)0.000
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 score0.198
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.117
GPT teacher head0.415
Teacher spread0.297 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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