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Cash water expenditures are associated with household water insecurity, food insecurity, and perceived stress in study sites across 20 low- and middle-income countries

2019· article· en· W2994276456 on OpenAlexaff
Justin Stoler, Amber L. Pearson, Chad Staddon, Amber Wutich, Elizabeth A. Mack, Alexandra Brewis, Asher Y. Rosinger, Ellis Adjei Adams, Mallika Alexander, Mobolanle Balogun, Michael J. Boivin, Genny Carrillo, Kelly Chapman, Stroma Cole, Shalean M. Collins, Jorge Escobar-Vargas, Matthew C. Freeman, Gershim Asiki, Hala Ghattas, Ashley Hagaman, Zeina Jamaluddine, Wendy Jepson, Kenneth Maes, Jyoti S. Mathad, Hugo Melgar‐Quiñonez, Joshua D. Miller, Monet Niesluchowski, Nasrin Omidvar, Luisa Samayoa-Figueroa, Ernesto C. Sánchez-Rodríguez, Marianne V. Santoso, Roseanne C. Schuster, Andrea Sullivan, Yihenew Tesfaye, Nathaly Triviño, Alex Trowell, Désiré Tshala-Katumbay, Raymond Asare Tutu, Sera L. Young, Hassan Eini‐Zinab

Bibliographic record

VenueThe Science of The Total Environment · 2019
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsMcGill University
FundersNational Institute of Mental HealthNational Institute of Environmental Health SciencesInnovative Methods and Metrics for Agriculture and Nutrition ActionsNational Science Foundation
KeywordsPovertyPsychological interventionFood insecurityHousehold incomeCashTobit modelDemographic economicsEconomicsSocioeconomicsFood securityBusinessPsychologyGeographyAgricultureEconomic growth

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.457

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 studies0.0000.001
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 head0.014
GPT teacher head0.222
Teacher spread0.209 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations115
Published2019
Admission routes1
Has abstractno

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