La intención editorial de Calderón y la edición de las comedias de la Cuarta parte
Bibliographic record
Abstract
El artículo se centra en el análisis de la intención editorial de Calderón a la hora de publicar la “Cuarta parte” de sus comedias. La edición impresa de estos textos teatrales supuso un salto cualitativo en cuanto a su repercusión social (una mayor y diferente socialización de los textos de Calderón) y también en cuanto al papel desarrollado por el autor que asume en este momento, además, un rol como editor, algo que resulta especialmente importante de cara a una edición crítica actual. Al margen de las razones económicas que pudieron haber impulsado a Calderón, las ediciones de 1672 y 1674, junto con la de Vera Tassis de 1688, nos aportan la intención editorial del autor español a la hora de fijar los textos, a pesar de que los numerosos errores que aparecen en las ediciones de 1672 y 1674 y las intervenciones de Vera Tassis en la de 1688 generen problemas al editor moderno.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".