Mapudunguken: cuestionario para evaluar la competencia oral en mapudungun en niños mapuche
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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 it