DESAFÍOS DE LA EDUCACIÓN INTERCULTURAL BILINGÜE EN LA INTERRELACIÓN DE LENGUA, CULTURA Y COGNICIÓN
Bibliographic record
Abstract
El ensayo discute la interrelación entre lengua-cultura-cognición en la educación intercultural bilingüe en territorios indígenas. Sostenemos que el bilingüismo favorecería el éxito escolar y educativo de los estudiantes indígenas, quienes históricamente en contexto de hegemonía cultural dan cuenta de un débil éxito escolar en relación al no indígena. Así, el reforzamiento de la identidad sociocultural incide en las capacidades de tratamiento y utilización de la información, para el desarrollo cognitivo de los estudiantes, permitiendo vínculos entre la cosmogonía de sus referentes culturales y el desarrollo de habilidades para analizar, sintetizar y crear objetos de conocimiento útiles para el éxito escolar.
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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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.030 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".