La Planificación participativa aplicada al diseño de un programa de extensión agrícola
Bibliographic record
Abstract
Con el objeto de disenar un Programa de Extension Agricola, se aplico la Planificacion Participativa en la comunidad La Estrella, la cual esta ubicada en el municipio La Canada de Urdaneta, estado Zulia. La poblacion considerada en el estudio correspondio a las 360 personas establecidas en la comunidad. Se empleo el metodo DPAP (diagnostico, participacion, aprendizaje, planificacion y ejecucion) y se promovieron reuniones con los productores y sus familias para identificar y jerarquizar los problemas de la comunidad y sus posibles soluciones, ademas se determinaron las necesidades de extension. A traves de los resultados se evidencio que los principales problemas de la comunidad se derivan de la poca participacion de sus habitantes y a la falta de organizacion comunitaria. Como parte de las estrategias y acciones para enfrentar la problematica actual, se diseno un Programa de Extension Agricola conformado por cinco proyectos participativos de capacitacion en trabajo en equipo, organizacion comunitaria, practicas de manejo de cultivos, administracion y comercializacion de productos agricolas, utilizando la matriz del marco logico.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".