<i>La Celestina</i> en la democracia. Adaptación, censura y recepción de la recreación cinematográfica de Gerardo Vera
Bibliographic record
Abstract
El artículo se propone examinar, en primer lugar, los problemas personales, creativos, técnicos y de censura que atravesó el director de cine Gerardo Vera y su elenco antes, durante y después de la grabación de la película La Celestina (1996). Para ello, así como para sustentar este análisis "beyond fidelity", se recurre a entrevistas, notas informativas y otras fuentes de primera mano. En segundo, la polémica que se generó en los medios de comunicación españoles en torno al "gran" contenido erótico del film con el que Vera no solo quiso emular el tratamiento que Fernando de Rojas le da a este componente en su obra, sino el de poder recrearlo en la pantalla sin los tapujos y tijerazos que sufrió la recreación de César Ardavín durante el régimen de Franco. Y, por último, el tratamiento libre y personalizado que el director dio a la segunda adaptación cinematográfica de esta obra clásica.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.061 | 0.011 |
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".