A school feeding program based on the Eco‐Health approach: A case study from rural Lebanon
Bibliographic record
Abstract
Using the Eco‐Health approach, a local women's cooperative was paired with a rural school to provide traditional foods to children through a school feeding and nutrition education program. We investigated the effect of this program versus nutrition education alone on nutritional status, breakfast consumption and attitude towards traditional diets. Two elementary schools from the village of Aarsal, Lebanon participated in the study. At baseline and endpoint, height, weight, hemoglobin and breakfast recall were taken. All children received four nutrition education sessions and children from the intervention school received a daily school meal for 4 days/week for 5 months. Qualitative data were collected from meetings with parents. At baseline, stunting, overweight and anemia prevalence were at 8%, 20% and 6%, respectively. There was a significant decrease in anemia prevalence among schoolchildren taking part in the school feeding intervention (p<0.0001). Breakfast consumption habits improved at both schools with a significant decrease in number of children not consuming breakfast (p<0.001). Schoolchildren in the intervention school demonstrated improved attitudes towards traditional diet and healthy lifestyle practices. This school feeding program provides a potentially sustainable local model for school feeding programs in similar rural contexts in countries undergoing a nutrition transition. This research has been funded by Canada's International Development Research Center (IDRC).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".