Una propuesta de adaptación del Marco Europeo para los ESL
Bibliographic record
Abstract
En este artículo abordamos la evaluación del progreso lingüístico del alumnado inmigrante o minoritario que empieza a aprender la lengua de la escuela años después que sus compañeros nativos, ya sea catalán, castellano, u otra lengua del país o una lengua extranjera, como en las aulas de CLIL donde le lengua vehicular es el inglés o el francés, por ejemplo. Este alumnado (que llamamos ESL, estudiantes de una segunda lengua o de una lengua adicional para fines escolares) lleva una doble carga, aprendiendo de forma simultánea el contenido curricular y la lengua vehicular de la escuela. Es importante seguir el progreso de los ESL para saber cómo y cuánto adaptar el currículo para que éste sea alcanzable para los ESL de varios niveles de competencia lingüística, y para garantizar que estos alumnos sigan desarrollando sus habilidades lingüísticas hasta que lleguen al nivel que tienen sus compañeros de la misma edad.
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.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".