Nutrition and rural development policy in Latin America: the human nutrition initiative network
Bibliographic record
Abstract
En Latinoamérica, las comunidades rurales están sufriendo cada vez más de problemas de salud relacionados con la inseguridad alimentaria y con las dietas poco nutritivas. De cara a la acción insuficiente de los gobiernos, los actores no estatales han tomado el liderazgo para atender este asunto, en muchos casos; sin embargo, su trabajo está profundamente entrelazado con los contextos de política en los que operan. Usando un enfoque de estudio de caso comparativo, este artículo propone que un contexto de política que ha llegado más allá de un enfoque de asistencia alimentaria, limitando el comercio libre y promoviendo la pequeña producción sustentable de alimentos, puede ser eficaz para afrontar problemas de nutrición, en parte debido a las sinergias creadas con instituciones no estatales. El artículo también resalta la importancia de establecer redes como una manera de reconstruir el tejido social de las comunidades rurales, promoviendo así los esfuerzos de desarrollo.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".