Mapudunguken: cuestionario para evaluar la competencia oral en mapudungun en niños mapuche
Bibliographic record
Abstract
La situación de desplazamiento de la lengua mapuche ha motivado el desarrollo de políticas públicas para su revitalización, pero aún no se dispone de un instrumento para medir la competencia en Mapudungun en niños. Se presenta Mapudunguken un Cuestionario de competencia oral en Mapudungun y se describe su proceso de construcción. Participaron del estudio 99 escolares (6 a 11 años) de escuelas rurales de la región de La Araucanía. Los resultados mostraron bajos niveles de desempeño. Los índices de confiabilidad fueron aceptables, y por tanto se concluye que el instrumento cumple con las condiciones necesarias para evaluar la competencia lingüística en mapudungun.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".