Características epistémicas de los métodos educativos mapuches
Bibliographic record
Abstract
En este artículo se develan las principales características epistémicas de los métodos educativos de la educación entregada en la familia mapuche de comunidades de la región de La Araucanía en Chile. Se considera el concepto de epistemología en cuanto a la producción de conocimientos prácticos, técnicos, simbólicos y espirituales, como crítica epistemológica de la monoculturalidad del currículum escolar. La metodología utilizada es la investigación cualitativa y se apoya en la Teoría Fundamentada. Los resultados dan cuenta de métodos educativos de aprendizaje y enseñanza de contenidos sobre persona y sociedad, ubicación temporal, territorial y orientación espacial. Se concluye que la formación se organiza considerando métodos propios construidos a partir de la racionalidad del conocimiento educativo mapuche.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".