Food Sharing Practices in Households Receiving Supplemental Foods for the Treatment of Moderate Acute Malnutrition in Ethiopian Children
Bibliographic record
Abstract
The objective of this article is to evaluate food sharing practices in households receiving corn–soya blend (CSB) and ready-to-use supplementary food (RUSF) in southern Ethiopia. Ethiopian children with moderate acute malnutrition from 10 supplementary feeding sites received CSB (1413 kcal/day) or RUSF (500 kcal/day). Data on food sharing and consumption practices were collected from 1125 households via structured questionnaires administered by trained local health professionals after 6 weeks of treatment. CSB was shared among a significantly higher number of family members (1.9 ± 1.0) compared to RUSF (0.1 ± 0.4; P < .001). In only 14% of CSB households, children consumed equal or more than three quarters of the ration, compared to 98% of RUSF households. Only 9% of RUSF households reported food sharing, the majority (86%) of whom were children in the same household under 5 years of age. Comparatively, CSB was shared within the household with a greater number of family members and in greater quantities compared to RUSF. CSB was reported to be widely consumed by all members of the household, whereas RUSF was sparingly shared and only with children under 5 years of age in the household.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".