Remaking Urban Environments: The Political Ecology of Air Pollution in Delhi
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.
Bibliographic record
Abstract
In the growing field of urban political ecology, so far not much attention has been paid to air-quality and related policies. In this paper I examine the recent far-reaching air-pollution policies in India's capital, as well as the role of environmental nongovernmental organizations and judicial activism, in view of their implications for different groups of the urban population. I analyze these policies in the wider context of Delhi's ongoing strive for ‘city beautification’ and for changing (environmental) governmentalities, and reveal a marked middle-class bias in the environmental and judicial activisms practised, which also contributes to the refining of the boundary between public and private environments. Furthermore, it is argued that air quality with its complex sociospatial patterns plays a significant part in the coproduction of urban ‘socioenvironments' that needs to be addressed in political-ecological studies.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it