Políticas de formación docente inicial para educación rural en Argentina
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
En este artículo se presentan algunos puntos centrales de las políticas de formación docente inicial de Educación Rural en Argentina. Se trata de los primeros resultados de un estudio mayor que abarca a cuatro países del Mercosur. El objetivo de este trabajo es analizar los aspectos normativos de la formación docente y mostrar la complejidad que asume la práctica docente en espacios sociales rurales.Palabras clave: Formación docente, Educación rural, Políticas educativas.This article discusses some key points of the initial teacher training policies Rural Education in Argentina are presented. These are the first results of a larger study encompassing four Mercosur countries. The aim of this paper is to analyze the normative aspects of teacher training and show the complexity assumes the teaching practice in rural social spaces.Keywords: Teacher training, Rural education, Educational policies.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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