Los desafíos de formación de los docentes de español en las escuelas primarias y secundarias de Quebec
Bibliographic record
Abstract
Desde hace un ano los administradores de las escuelas vienen mostrando preocupacion por la falta de docentes calificados para ensenar idiomas. Con la popularidad de los programas de inmersion francesa y la llegada de tantos inmigrantes se hacen necesarios docentes de frances como segunda lengua. Con la importancia economica del ingles y el aumento de las horas de ingles en el curriculo de la primaria, es dificil encontrar docentes de dicho idioma. Los acuerdos economicos en America, el numero de personas que vienen a vivir a Montreal desde los paises de America Latina, el interes por el aprendizaje de otros idiomas son algunos factores que podrian explicar la demanda de docentes de espanol. En este articulo, contextualizaremos el problema de la formacion de los docentes de espanol con informacion sobre la ensenanza de las lenguas en las escuelas primaria y secundaria y los requisitos para la capacitacion de los docentes. Terminaremos con algunas pistas de soluciones que toman en cuenta la complejidad del problema, los intereses de diversos grupos y la calidad educativa.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".