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Record W2898576564

Wells and Well-being in South India: Gender dimensions of groundwater dependence

2018· article· en· W2898576564 on OpenAlex
Divya Solomon, Nitya Rao

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUEA Digital Repository (University of East Anglia) · 2018
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsnot available
FundersUniversity of CambridgeInternational Development Research CentreDepartment for International DevelopmentGovernment of the United Kingdom
KeywordsLivelihoodGroundwaterAgrarian societyGeographyEconomic shortagePsychological resilienceWater resource managementAgricultureEnvironmental planningSocioeconomicsNatural resource economicsSociologyEconomicsEnvironmental sciencePsychology
DOInot available

Abstract

fetched live from OpenAlex

Groundwater has played a pivotal role in transforming the rural agrarian landscape, augmenting rural livelihoods and improving household wellbeing. Through our research, we attempt to understand how the growing prevalence and importance of groundwater has impacted intra household relations, in particular the gendered divisions of labour, and use of assets. Further, we explore the impacts of failed borewells on gendered vulnerabilities, identities and wellbeing. Our research indicates that groundwater usage in semi-arid regions has increased the short-term resilience of communities in the region, but simultaneously increased gendered risks, especially for small-holders, by promoting unsustainable livelihood trends and risky coping strategies to groundwater shortages.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.006
GPT teacher head0.151
Teacher spread0.144 · 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