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Record W1818842839 · doi:10.1079/9781845931728.0211

Energy-irrigation nexus in South Asia: improving groundwater conservation and power sector viability.

2007· preprint· en· W1818842839 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

VenueCABI eBooks · 2007
Typepreprint
Languageen
FieldEnvironmental Science
TopicWater-Energy-Food Nexus Studies
Canadian institutionsPricewaterhouseCoopers (Canada)
FundersConsortium of International Agricultural Research Centers
KeywordsNexus (standard)Water-energy nexusIrrigationWater resource managementGroundwaterEnvironmental scienceNatural resource economicsBusinessEconomicsGeologyEngineeringEcologyGeotechnical engineering

Abstract

fetched live from OpenAlex

In the highly populated South Asian region, where pump irrigation has gained predominance over gravity-flow irrigation in recent decades, the fortunes of groundwater and energy economies are closely tied. Little can be done in the groundwater economy that will not affect the energy economy, and the struggle to make the energy economy viable is frustrated by the often violent opposition from the farming community to the rationalization of energy prices. As a result, the region's groundwater economy has boomed at the expense of the development of the energy economy. This report suggests that this does not have to be so; and the first step to evolving approaches to sustaining a prosperous groundwater economy with a viable power sector is for the decision makers in the two sectors to talk to each other, and jointly explore better options for energy-groundwater co-management which, the authors suggest, have so far been overlooked.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.208
Teacher spread0.192 · 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