Planning the Liveable If Not the Ideal: Frontline Planners’ Discretionary Actions and Inequalities in Everyday Intermittent Water Supply Planning in Tiruppur, India
Bibliographic record
Abstract
Millions of urbanites across the Global South receive intermittent water supply (IWS). This paper examines how discretionary action by street-level bureaucrats (SLBs) in everyday water supply planning in IWS systems redistributes water quantities and service quality to alleviate unequal scarcity burdens. Ethnographic findings from the small city of Tiruppur, India, reveal that SLBs’ supply plans aim to distribute water volumes equitably within the network. However, SLBs’ communicative strategies to manage socio-material uncertainties and improve supply predictability, a critical dimension of service quality, reinforce existing socio-spatial inequalities. Rethinking SLBs’ contradictory discretionary actions in everyday water supply plans is crucial for managing water scarcity equitably in the IWS systems of Global South cities.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".