La Reforma Esperada: Una Educación para Todos y para Cada Uno
Bibliographic record
Abstract
El presente trabajo sustenta la posibilidad de las reformas a gran escala. Reformas sostenibles y con resultados drásticos en una legislatura. Para lo cual son necesarias dos condiciones. En primer lugar que todos los ciudadanos se unan en torno a un sueño común o propósito moral, y en segundo lugar una sólida y dinámica teoría de la acción para el cambio del sistema, dicha teoría viene a ser un conjunto de elementos guía de las acciones a nivel de sistema. Presenta dos casos de reformas exitosas en aprendizajes: la Estrategia Nacional de Lectura y Escritura en el Reino Unido y la Estrategia de Ontario en Canadá. Todo lo anterior enfocado en dos vertientes teóricas: la del derecho a la educación y la teoría de la acción de Michael Fullan.Descriptores: Teoría del cambio, mejora escolar, mejora de la eficacia escolar, equidad educativa The Expected Reform: One Education for Each and Every OneThis works backs the possibility of grand scale reforms, sustainable reforms that will create drastic results on the legislation. In order for this to take place, two conditions are necessary. First of all, citizens must unite around a common dream or moral purpose; and second a solid and dynamic theory for system change must be had. Said theory must be a compilation of actions to take at a system level. Two successful reform cases are presented: the National Strategy for Reading and Writing in the United Kingdom, and the Ontario Strategy in Canada. This is done focusing on two theories: a right to education and the theory of action by Michael Fullan.Keywords: Theory of change, school improvement, improvements of school effectiveness, educational equality.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".