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Record W2526097594 · doi:10.14288/acme.v15i3.1349

Engels in the Crescent City: Revisiting the Housing Question in post-Katrina New Orleans

2016· article· en· W2526097594 on OpenAlexaff
Chris Herring, Emily Rosenman

Bibliographic record

VenueOpen Collections · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCapitalismState (computer science)Hurricane katrinaPolitical scienceAffordable housingPopulationPolitical economyNeoliberalism (international relations)SociologyLegitimationLawPublic administrationPoliticsEconomic growthEconomicsNatural disasterGeography

Abstract

fetched live from OpenAlex

Before Hurricane Katrina, renters comprised the majority of New Orleans’ population. The disaster destroyed a disproportionate amount of rental housing, particularly in the affordable sector. Yet the vast majority of reconstruction funding and volunteer labor has gone to homeowners and initiatives to increase homeownership in the city. We explore the legitimation of this bias toward propertied interests through the lens of Engels’ (1872) critical assessment of Proudhonist and bourgeois socialist ‘solutions’ to the housing question of 19th century Europe. We consider three aspects of Engels’ critique that have been crucial to the post-storm policy regime in New Orleans: homeownership framed as a solution to social problems, the shifting of the housing question into legal and moral spheres, and housing ‘solutions’ enacted by the state that ultimately benefit the propertied and moneyed classes. In examining the contemporary housing question of post-Katrina New Orleans, we extend Engels’ evaluation of the legal and moral spheres that come to veil and reproduce urban economic and racial inequalities, while distinguishing the expanded role of the contemporary state in supporting the tenets of an ‘ownership society.’ Our argument explores how neoliberalism disguises state actions that protect and expand property ownership in contemporary capitalism

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.043
GPT teacher head0.257
Teacher spread0.214 · 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 designNot applicable
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

Citations2
Published2016
Admission routes1
Has abstractyes

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