International cooperation for food and nutrition security: Systematization of the participatory, contextualized, and intersectoral educational practices
Bibliographic record
Abstract
ABSTRACT The present study systematized the experience gained with the project Construindo capacidades em segurança alimentar e nutricional no Brasil, Canadá e Angola (2004-2010, Building food and nutrition security skills in Brazil, Canada, and Angola), whose objective was to qualify actions that promote food and nutrition security in the three countries using different educational practices. The activities were organized in the following subprojects: (a) online distance learning courses; (b) workshops to train managers, government technicians, representatives of civil society organizations, and social subjects who offered to act as a link between communities; and (c) local pilot projects. The present study reports this experience. The educational practices implemented in the municipalities of Araçuaí (MG), Juazeiro (BA), and Fortaleza (CE) were analyzed based on systematized information in the project reports and activity records (texts and photographs). The analytical reference was based on the concept of food and nutrition education, guided by the fundamentals of Popular Education and Paulo Freire; on the concept of food and nutrition security; and on the following analytical dimensions: participation, contextualization of educational practices, and intersectoriality. The results evidenced how educational practices contributed to the construction of shared concepts of food and nutrition security from an intersectoral and participatory perspective that values the peculiarities of diet in different socioeconomic and cultural contexts, and highlights daily situations and local traditions. They also expose the limits and potentialities of an experience of this magnitude, conducted from an interdisciplinarity perspective and using participatory methods.
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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 | 0.011 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".