Nutritional Status of Participating and Non-participating Pupils in the Ghana School Feeding Programme
Bibliographic record
Abstract
The Ghana Demographic Health Survey indicates that the major nutritional challenges in Ghana among school children are protein-energy malnutrition and micro-nutrient deficiencies. School Feeding Programmes are one of the main interventions addressing malnutrition and its related effects on children’s health and education. The purpose of this study was to assess the influence of Ghana School Feeding Programme on nutritional status of school children in Atwima-Nwabiagya District of Ashanti Region, Ghana. A total of 234 pupils between 9 and 17 years of age, comprising 114 participants and 120 non-participants from three participating and three non-participating schools, respectively, with similar characteristics, took part in the study. It was hypothesized that the nutritional status of participants was better than that of non-participants. Results did not indicate any association between the school lunch and nutritional status. There was no statistically significant difference in the nutritional status of participants and non-participants. The programme did not impact the nutritional status of participants.
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".