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Record W3023796857 · doi:10.1590/es.215922

CONTAR PARA COMPRENDER: CIERRE DE ESCUELAS RURALES MUNICIPALES EN CHILE Y SUS IMPLICANCIAS PARA LAS COMUNIDADES

2020· article· es· W3023796857 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducação & Sociedade · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicEducation in Rural Contexts
Canadian institutionsCentre for Global Health Research
Fundersnot available
KeywordsHumanitiesGeographyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.077
GPT teacher head0.387
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it