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Record W2319089827 · doi:10.2166/wp.2010.130

Policy transmission: the emerging policy dynamic of water supply infrastructure development in India

2010· article· en· W2319089827 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWater Policy · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Economic Development in India
Canadian institutionsConcordia University
FundersUniversitatea "Lucian Blaga" din SibiuNational Science Foundation
KeywordsTamilGovernment (linguistics)State (computer science)PoliticsWater sectorWater supplyEconomic growthBusinessEconomic systemPublic administrationEconomicsPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The focus of this paper will be to investigate the nature of policy reform in the water supply infrastructure sector in India. In the formal division of powers, much of the authority to implement policies in this sector rests with state governments and the role of the national government is largely restricted to recommending broad policy directions. Since the late 1990s, with the diffusion of the reform agenda into this sector, the national government has taken a number of measures that try to intervene more confidently in setting policy agendas in the states. However, this intervention has not proceeded along expected lines and more assertive policy articulations have been made by different states. A host of factors, such as the proliferation of regional parties and the diverse political logics behind reform implementation in each state are behind this. Using the states of Karnataka, Kerala and Tamil Nadu in India as examples, this paper will develop a model of how water supply policy reforms are being transmitted.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.006
GPT teacher head0.271
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it