“Hamro Jhora, Hamro Pani” (Our Spring, Our Water): Water and the Politics of Appropriation of ‘Commons’ in Darjeeling Town, India
Bibliographic record
Abstract
Based on the study of Darjeeling Municipality, the paper engages with issues pertaining to understanding the matrixes of power relations involved in the supply of water in Darjeeling town in India. The discussions in the paper focuses on urbanization, the shrinking water resources, and increased demand for water on the one hand; and the role of local administration, the emergence of the water mafia, and the ‘Samaj’ (society) all contributing to a skewed and inequitable distribution of water and the assumption of proprietorship or the appropriation of water commons, culminating in the accentuation of water-rights deprivation in Darjeeling Municipal Area. HYDRO Nepal JournalJournal of Water Energy and EnvironmentIssue No: 22Page: 16-24Uploaded date: January 14, 2018
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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 | 0.000 |
| 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 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".