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Record W3006433822 · doi:10.1080/21665095.2020.1722721

Child malnutrition, consumption growth, maternal care and price shocks: new evidence from Northern Ghana

2020· article· en· W3006433822 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.

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

VenueDevelopment Studies Research · 2020
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersCanadian International Development AgencyUnited States Agency for International Development
KeywordsMalnutritionContext (archaeology)Consumption (sociology)Environmental healthEconomicsPopulationAgency (philosophy)Early childhoodSevere Acute MalnutritionHealth careMedicineDemographic economicsEconomic growthPsychologyGeographyDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

Childhood malnutrition remains a significant global health concern. In order to implement effective policies to address the issue, it is crucial to first understand the mechanisms underlying malnutrition. This paper uses a unique dataset from Northern Ghana to explain the underlying causes of childhood malnutrition. It adopts an empirical framework to model inputs in the production of health and nutrition, as a function of child, household and community characteristics. The findings suggest that maternal agency and health contribute to improved health status. Household resources – in the form of consumption – are positively associated with food intake and nutritional outcomes. Simulations show that income growth, improving maternal care and avoiding sudden price shocks have a positive – but rather limited effect – on the reduction of malnutrition in this context. Effects are greater in children under two. Hence, policies that address underlying determinants simultaneously, and target the youngest population of children, could have the largest effect on reducing malnutrition in this population.

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 score0.049
Threshold uncertainty score0.738

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 studies0.0010.000
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 head0.149
GPT teacher head0.380
Teacher spread0.231 · 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