Proyecto identidad : avances en la implementación del modelo educativo kankuamo
Bibliographic record
Abstract
Esta guía de trabajo para docentes presenta los avances en la implementación del Proyecto Identidad del Modelo Educativo Kankuamo (MEK). También, recoge experiencias de aula de ocho docentes en el esfuerzo por llevar el currículo diseñado, por el conjunto de los y las docentes, a la práctica pedagógica con los niños y niñas del resguardo. \n\nLa publicación es resultado del trabajo realizado por el grupo de docentes de preescolar y primaria de las tres instituciones educativas del Resguardo Kankuamo: la Institución Agrícola La Mina, la Institución Educativa de Promoción Social Guatapurí y la Institución Educativa San Isidro Labrador de Atánquez. \n\nEl documento contó con el apoyo del Gobierno de Navarra y Alboan.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".