Clasificación integradora de los usos del SE: tratamiento metodológico en la enseñanza superior
Bibliographic record
Abstract
"Se realizó una nueva clasificación actualizada e integradora del SE. El estudio comprendió el análisis de los antecedentes hasta la Nueva Gramática de la Lengua Española de 2010. Su objetivo consistió en describir gramaticalmente a SE, como pronombre personal, morfema del verbo e indicador de otros usos y su tratamiento metodológico para la enseñanza de la Gramática Española. Los métodos utilizados fueron: análisis documental y bibliográfico, observación científica y el estructural funcional. Como resultados, se establecieron diez usos e indicadores . Las ejemplificaciones se realizaron mediante una contextualización de autores cubanos paradigmáticos. Los resultados han sido empleados como textos auxiliares para la carrera de Periodismo en Holguín y para los fondos bibliográficos en las Universidades de Oriente y la “Martha Abreu”, Cuba, y como ELE, Universidad de Ontario, Canadá."
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".