Child malnutrition, consumption growth, maternal care and price shocks: new evidence from Northern Ghana
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.
Bibliographic record
Abstract
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.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it