Tratamiento de ritmo y rima en las traducciones al español de los Sonetos de Shakespeare
Bibliographic record
Abstract
Basándonos en las definiciones de verso, ritmo y rima y de las características del soneto tanto en la lírica hispánica como en la anglosajona, este estudio pretende analizar formalmente la métrica de un corpus formado por once traducciones al español de los Sonetos de Shakespeare (1609), publicados en España entre los años 1990 y 2013. Para este análisis, nos hemos centrado en tres aspectos esenciales: la medida del verso (su cómputo silábico), el patrón acentual o rítmico y el tipo de rima empleada por el traductor, con el fin de observar el tratamiento del ritmo y de la rima y de extraer conclusiones sobre el grado de similitud formal entre la traducción y el texto original. Este semejanza se ha establecido a partir de una lista gradual de posibles correspondencias en español para el pentámetro yámbico empleado por Shakespeare en sus composiciones.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".