Participatory Planning, Justice, and Climate Change in Durban, South Africa
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".