Caracterización del sistema de seguridad de semillas en el municipio de Cruces
Bibliographic record
Abstract
El mundo necesita constantemente aumentar la productividad de los cultivos y crear nuevas variedades mejor adaptadas para enfrentar factores ambientales y biolgicos o satisfacer las necesidades de las comunidades locales. Este trabajo persigue mejorar la labor que se viene realizando en este sentido en Cuba, proponiendo una estrategia que permita aumentar la produccin de los recursos fitogenticos necesarios para garantizar una mejor seguridad alimentaria en el municipio. Para la realizacin del diagnstico se tuvo en cuenta la gua metodolgica para la seguridad de semillas, elaborado por la Unitarian Service Committee of Canada (USC), y se seleccion al azar una muestra de 38 fincas distribuidas en los distintos consejos populares del municipio. Los principales resultados indican que existe diversidad de semillas en el sistema local, mientras que el sistema formal no se garantiza la diversidad, disponibilidad y calidad requeridas; se aplican diversos mtodos de almacenaje para la conservacin de semillas y la mayora de los productores no producen la semilla de forma separada, con las atenciones requeridas para este tipo de produccin. Se conoci que es baja la participacin de mujeres y jvenes en las actividades agrcolas y en
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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 | 0.001 | 0.001 |
| 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".