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Record W2911804151

Conjunctive water use, Maharashtra, India

2000· other· en· W2911804151 on OpenAlex
Frank Simpson, Girish Sohani

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLoughborough University Institutional Repository (Loughborough University) · 2000
Typeother
Languageen
FieldSocial Sciences
TopicSocial and Economic Development in India
Canadian institutionsUniversity of Windsor
FundersInternational Development Research Centre
KeywordsGeneral partnershipSustainabilityAgency (philosophy)Environmental planningWindsorParticipatory action researchResearch centerEnvironmental resource managementPolitical scienceBusinessWater resource managementGeographyEconomic growthSociologySocial scienceEnvironmental scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

The research project, Conjunctive Use of Water Resources in Deccan Trap, India, involved BAIF Development\nResearch Foundation and University of Windsor Earth Sciences. They worked in partnership with the tribal and rural people of Akole Taluka, Ahmednagar District, Maharashtra. Participatory management and evaluation were key elements of the project. The goal was to improve management of water resources in Akole Taluka. The\npurpose was to design a management strategy for a year round water supply, with a focus on domestic needs. The\nauthors were the Canadian and Indian project leaders. The funding agency was the International Development Research\nCentre, Ottawa. Simpson and Sohani (1998) gave a summary of the project, with an emphasis on the sustainability of its results. The present account deals with some aspects of project research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.014
GPT teacher head0.196
Teacher spread0.182 · 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