Experiments in peripheral urbanization: Building and unbuilding commons in urban India
Bibliographic record
Abstract
Peripheral urbanization is the predominant mode of producing space in the Global South, in which residents build their own homes and neighborhoods, becoming citizens and political agents in the process. In this article, I bring feminist ethnographic attention to community infrastructure such as childcare centers built collectively by women residents in MGR Nagar, an informal urban settlement in Chennai, India, as understudied examples of autoconstruction in peripheral urbanization. Marxist feminism enables a theorization of these infrastructures of social reproduction as urban commons that assert collective spatial autonomy and enable moral claims on urban space, while serving the everyday needs of its residents. The subsequent demolition of the childcare center caused symbolic and material loss to residents. However, the ceding of territorial autonomy and spatial privileges was a way for them to make new material and political gains in the city, suggesting that a feminist politics of space is possible in which legitimacy and responsibility are demanded from the state. The commons in turn can be seen as durable countertopographies enabling a politics of place in multiple locations.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".