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Record W4393860812 · doi:10.1177/08854122241242132

Accumulation by Dispossession and the Truism of Urban Regeneration

2024· article· en· W4393860812 on OpenAlexaff
Abdul-Salam Ibrahim, Mohammed Abubakari, Patrick Brandful Cobbinah, Vincent Kuuire

Bibliographic record

VenueJournal of Planning Literature · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsUniversity of SaskatchewanUniversity of Toronto
Fundersnot available
KeywordsRegeneration (biology)Urban regenerationEnvironmental planningNatural resource economicsForensic engineeringGeographyEngineeringEconomicsBiology

Abstract

fetched live from OpenAlex

This article advances an understanding of urban regeneration shaped by accumulation by dispossession theory. Using available urban regeneration scholarship, we examine the framings and outcomes of urban regeneration projects and community responses. This analysis contributes to understanding urban regeneration thinking in global South cities, and the neoliberal strategies that make them attractive to state actors and problematic for vulnerable urban residents. The analysis focuses on Sub-Saharan African cities—a region where informality is dominant and urban regeneration is common. The findings indicate that the dispossession dynamics and consequences of urban regeneration reflect the globalization of neoliberal strategies facilitated by the state.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.262

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 studies0.0000.000
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 head0.016
GPT teacher head0.325
Teacher spread0.309 · 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

Citations7
Published2024
Admission routes1
Has abstractyes

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