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Conflict, Collaboration and Climate Change: Participatory Democracy and Urban Environmental Struggles in Durban, South Africa

2010· article· en· W1952063475 on OpenAlexaff
Alex Aylett

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCivil societyEnvironmental governanceCorporate governanceDemocracyCitizen journalismContext (archaeology)Political sciencePoliticsCompromiseSociologyPublic administrationGeographyManagementEconomics

Abstract

fetched live from OpenAlex

Abstract The South Durban Basin on the eastern coast of South Africa is home to both a large‐scale petrochemical industry and a highly mobilized residential community. In a conflict cemented by apartheid‐era planning, the community's campaigns to improve local air quality provide a test case for the value of conflict for participatory democratic structures. In the context of the work of the International Panel on Climate Change (IPCC), the South Durban Basin also provides an opportunity to push the boundaries of the established links between participation and the design and implementation of responses to a changing climate. Contributing to one of the main themes of the symposium, this article argues that the focus on collaboration and compromise within studies of governance and participation overlooks both the reality of conflict and its potentially positive effects. Addressing this requires particular attention to how power relationships influence processes of governance, and the role of civil society in balancing the influence of the private sector on the state. It also calls for a better understanding of conflict and collaboration as mutually re‐enforcing elements of an ongoing and dynamic political process. Together, the elements of this critique help to build a more nuanced view of participatory urban governance: one that both better describes and may better facilitate the ability of urban populations to collectively, effectively and rapidly respond to the challenges of a changing climate. Résumé Le bassin Sud de Durban, situé sur la côte Est de l'Afrique du Sud, abrite à la fois un vaste secteur pétrochimique et une communauté résidentielle particulièrement mobilisée. Dans une lutte cimentée par un urbanisme datant de l'apartheid, les campagnes communautaires pour améliorer la qualité de l'air local testent la valeur de la lutte en faveur de structures démocratiques participatives. De plus, dans le cadre des travaux du Groupe d'experts intergouvernemental sur l'évolution du climat (GIEC), le bassin Sud de Durban offre une occasion de repousser les limites des liens établis entre la participation, d'une part, et l'élaboration et la mise en œuvre de réponses au changement climatique, d'autre part. Contribuant à l'un des principaux thèmes du symposium, cet article montre que, compte tenu de leur focalisation sur la collaboration et le compromis, les études sur la gouvernance et la participation négligent la réalité de la lutte autant que ses effets positifs potentiels. Pour ce faire, il examine comment les relations de pouvoir modulent les processus de gouvernance ainsi que le rôle de la société civile visant àéquilibrer l'influence du secteur privé sur l'État. Il convient également de mieux appréhender lutte et collaboration comme des composantes qui se nourrissent mutuellement dans un processus politique permanent et dynamique. Les éléments de cette analyse critique, une fois réunis, aident àélaborer une vision plus nuancée de la gouvernance urbaine participative. Cette vision offre une meilleure description et peut faciliter l'aptitude des populations urbaines à réagir de façon collective, efficace et rapide aux défis du changement climatique.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.359

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 studies0.0000.001
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 head0.089
GPT teacher head0.346
Teacher spread0.258 · 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

Citations131
Published2010
Admission routes1
Has abstractyes

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