CONTAR PARA COMPRENDER: CIERRE DE ESCUELAS RURALES MUNICIPALES EN CHILE Y SUS IMPLICANCIAS PARA LAS COMUNIDADES
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
RESUMEN Frente a los sucesivos cierres de escuelas rurales, se presenta un estudio cuyo objetivo es conocer su real dimensión. Se presenta una caracterización estadística de las escuelas básicas rurales cerradas en Chile entre el 2000 y 2016. Se analizó el número de escuelas rurales en funcionamiento y cerradas a nivel nacional, regional, por dependencia administrativa, Índice de Vulnerabilidad Escolar y matrícula. Los resultados muestran que los cierres no son hechos aislados, sino una tendencia que alcanza dimensiones preocupantes. La media del IVE de las escuelas cerradas muestra que los cierres afectan principalmente a la población más pobre. Desde estos resultados se interroga la política educativa, su relación con el debilitamiento de la educación rural y sus consecuencias en las comunidades rurales.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it