Considering Seasonal Variations in Food Availability and Caring Capacity when Planning Complementary Feeding Interventions in Developing Countries
Bibliographic record
Abstract
During early childhood, adequate nutrition is critical for preventing and reducing chronic undernutrition and micronutrient deficiencies. Seasonal food availability, access to diverse food and maternal workload are among the known constraints to successful infant and young child feeding practices. In rural areas in developing countries, many populations experience seasonal food shortages, which often coincide with an increase in food prices and a peak period for agricultural labour. Seasonal pressure on women’s time can negatively impact cooking and caring practices and intra-family food distribution. These factors combine to affect the nutritional status of especially children and women. This paper shows how seasonal food availability data are collected and utilized in designing complementary feeding interventions. Examples are drawn from FAO food and nutrition security projects in Afghanistan, Cambodia, Laos and Zambia which began with formative research using Trials of Improved Practices. Methods include use of seasonal food availability calendars and development of season-specific dishes and recipes. How seasonal variations in food availability and caring capacity feature in the educational materials developed by these projects is also reported. Finally, we provide practical ideas for incorporating coping strategies for dealing with seasonal effects when planning such interventions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".