Is urban agriculture associated with food security and nutritional status of preschool-aged children among low- income-peri-urban households of Lima, Peru?
Bibliographic record
Abstract
In the peri-urban slums of Lima, food insecurity and child malnutrition are prevalent. Urban agriculture (UA) is a coping strategy to help poor urban households meet food needs. This study investigated relationships between UA and food security, and children's diets and nutritional status among poor peri-urban households of Lima. Caregivers (n=197) of young children (9-71 mo.) were recruited from 40 community kitchens. Household sociodemographic, food security, UA activity, child health and anthropometric data were documented. The results revealed no differences between UA and non-UA households in household food security, children's nutritional status or diets. However, stratification of UA activity size into small, medium and large revealed greater frequency of consumption of animal source foods among children of large scale UA households, and decreased child height-for-age z-scores in small scale UA households, but no differences in food security. These findings suggest UA of sufficient volume may contribute to improving children's diets.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".