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Record W3094144937 · doi:10.29173/topo22

A Framework to Improve Urban Revitalization Developed Through a Theoretical Analysis and Critique of Pruitt Igoe

2020· article· en· W3094144937 on OpenAlexvenueno aff
Jack Cherniawsky

Bibliographic record

VenueTopophilia · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability, Governance, and Employment Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUrban planningSociologyPolitical scienceCivil engineeringEngineering

Abstract

fetched live from OpenAlex


 
 
 Urban revitalization is a complex task, greatly impacted by which stakeholders have the authority to identify and implement revitalization strategies. This article uses the Pruitt Igoe housing development to critique and explore alternatives to a modernist revitalization approach. Pruitt Igoe was built in 1954 on 57 acres of inner city land characterized by an overrepresentation of impoverishment and consisted of 33 identical 11-storey towers. Despite improving the quality of housing for residents of the area, Pruitt Igoe quickly deteriorated into an isolating and dangerous environment for residents. Ultimately, revitalization was not achieved and Pruitt Igoe was demolished just 18 years after construction. Analyzing the case of Pruitt Igoe through the theoretical frameworks of advocacy planning, planning as design, and several concepts from Michel Foucault reveals how inequalities and power differences led to some of the project’s negative outcomes. Using the considerations derived from these frameworks, the article demonstrates why renewed infrastructure alone is often insufficient to achieve effective urban revitalization. This article advocates that ongoing engagement with residents is critical to identify the complex social circumstances that underpin urban decline and create lasting, effective, and inclusive urban revitalization.
 
 

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.025
GPT teacher head0.344
Teacher spread0.319 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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