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Record W2127904683 · doi:10.1068/a4274

Participatory Planning, Justice, and Climate Change in Durban, South Africa

2010· article· en· W2127904683 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCorporate governanceAgency (philosophy)Citizen journalismClimate changeSociologyEconomic JusticePolitical scienceInequalityEnvironmental planningEnvironmental ethicsSocial scienceGeographyEcologyEconomicsLawManagement

Abstract

fetched live from OpenAlex

A changing climate seriously challenges our sociopolitical and economic systems. Elaborating on one possible element of a successful human response, this paper looks at how participatory governance is treated in the literatures on social justice and climate change. This paper applies the works of Habermas and Foucault, as well as recent work from the fields of urban and environmental planning, to clarify how the balance between structure, power, and agency influences attempts to address social inequality and climate change. Applying this general framework to a case study of Durban, South Africa, the paper then discusses the effectiveness of participatory structures in practice. This case study provides a productive space to study the intersection of social and environmental concerns. It also allows us to explore how interactions between formal and informal participation expose the limits both of confrontational (Foucauldian) and of consensus-based (Habermassian) approaches to governance. These limitations are instructive as we attempt to create cities that are both socially just and environmentally sustainable.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.489

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 head0.066
GPT teacher head0.301
Teacher spread0.235 · 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