Spatial Analysis of Access to Basic Services in Urban West Bengal: Disparities and Determinants
Bibliographic record
Abstract
This paper, using data from Census 2011, examines the availability of treated drinking water, latrine facility, drainage facility and electricity between villages, census towns (CTs) and statutory towns (STs) in West Bengal, India. Urban areas of socio-economically developed administrative divisions experienced higher household service coverage. Availability of drinking water and latrine facilities is distinctly better in STs over CTs and CTs over villages. Other services like latrine with sewerage facilities and closed drainage facilities recorded insignificant differences in household coverage between cities and villages. Results of multi-variable regression models reveal that type of economic activities and social characteristics of the urban areas; nature of basic services and their institutional arrangements significantly influence the service provision. So, the paper argues for stepping up investment, institutionalization of an integrated planning paradigm and strengthening urban governments to ensure equitable distribution of basic services.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".