ESCUELAS DE CAMPO DE AGRICULTORES DE Theobroma cacao L. EN EL BAJO CAGUAN (Experiencia, Resultados y Lecciones Aprendidas)
Bibliographic record
Abstract
Abstract Location. The Bajo Caguan region is located on the banks of the Cagúan River, municipality of Cartagena del Chaira, southeast of the Department of Caquetá in the Colombian Amazon region. Objective.To share methodological and training results achieved through Theobroma cacao L. Farmer Field Schools developed by the University of the Amazon under the project: " Agronomic performance, phytosanitary evaluation and molecular characterization of promising Theobroma cacao L. clones from elite plant material present in productive systems in the Bajo Caguan municipality of Cartagena del Chairá” (RCT-Cagúan) that was supported by Colciencias, the Cocoa Committee of Bajo Caguan and Suncillas, "Chocaguán",and the San Isidro Labrador Parish.Methodology. The work was conducted from discovery learning, based on the farmers’ previous knowledge and experience, reflection, new information and its application. This involved training professionals as FFS facilitators, the participatory definition of curriculum, building of protocols and flexible application of these in the field. Results. The FFS - Cagúan, in its first training cycle managed to train 43 farmers and producers of Theobroma cacao L,which means that 78% of those who started the process achieved an increase of Knowledge Index (IIC) of 34%. One of the lessons learned and perhaps the most important one, is the need to incorporate to the FFS other work items that go beyond the technical and that are related to social work, affective and sensitivity strategies, which will help improve technological adoption processes in the field. Conclusions. The FFS-Caguan process, allowedfarmers, among other things, to understand that finding the elites and/or genetic improvement is only one factor that will help improve their product, but the main responsibility lies precisely in themselves, in conducting cultural practices and crop management.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".