The periurban water security problem: a case study of Hyderabad in Southern India
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
The 2011 Census of India produced some interesting facts about the process of urbanisation in India. For the first time since Independence, the absolute increase in population is more in urban than in rural areas. The increase in urban areas has put pressure on the basic infrastructure, including access to water for both urban and periurban locations. Most Indian cities have formal water supply for only a few hours a day and only in limited areas. The question is – where are the remaining water requirements coming from? For much of India's ‘water history’, the focus has been on large-scale surface-water projects to provide access, focusing more on irrigation and neglecting sources within the city and the periurban areas. Over time an enormous informal groundwater market has arisen in several cities to bridge the demand–supply gap. This water demand is met through supplies of water through informal water markets. Water is sourced from the periurban regions, which are usually richer in surface water and groundwater. This paper focuses on the change process as witnessed by periurban areas with a case study of Hyderabad. This paper presents an overview of a trend that is leading to immense water insecurities due to a combination of issues.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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