Bibliographic record
Abstract
Cine y Series. La promiscuidad infinita parte de la premisa de que hoy en día el cine es una de las principales influencias en las series de televisión, con un notable impacto tanto en la producción como en la estética.Igualmente, la maduración y exuberancia de la forma narrativa serial va dando lugar a una tendencia inversa, por lo que la influencia de los productos seriales también es reconocible en las narrativas fílmicas y en la industria del cine en general.Esta obra nos ofrece un completo panorama de las relaciones entre cine y series en la contemporaneidad. Sus autores han recogido el análisis crítico de los muchos sentidos en que esa interacción se produce. El resultado es un conjunto de contribuciones, de amplio elenco internacional, en torno a los cuatro ejes siguientes:—Procesos de transformación narrativa del cine hacia la serialidad.—El modelo visual del cine y sus influencias en la serialidad.—Viejas historias del cine, nuevos sentidos para la contemporaneidad: reescribiendo una historia emocionante.—La innovación en el estudio de las relaciones entre cine y series: ecosistemas narrativos, world building y metáforas audiovisuales.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.348 | 0.163 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".