Canciones y refranes de México y Centroamérica. Incorporación en cursos de español como segunda lengua y como lengua extranjera en Canadá
Bibliographic record
Abstract
En este artículo destacamos la relevancia lingüística y cultural de los refranes y canciones populares de México y Centroamérica para incluirlos en cursos de ele institucionalizados, concretamente en Canadá, así como para conciliar el desarrollo de las competencias intercultural y lingüística. Analizamos 30 refranes y 10 canciones y los clasificamos según los niveles y léxico temático del Plan Curricular (PC). Los resultados indican la presencia de rasgos lingüísticos —por ejemplo, nahuatlismos— y culturales propios de México y Centroamérica que normalmente están ausentes de los cursos y manuales de ele, cuya inclusión permitirá formar hablantes interculturales y ciudadanos globales.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".