El cine español en la era de la reproducibilidad tecnológica: María Cañas y la d-generación
Bibliographic record
Abstract
En la era digital, la reproducibilidad de la obra de arte ha adquirido dimensiones que superan las analizadas por Walter Benjamin en su conocido ensayo “The Work of Art in the Age of Its Technological Reproducibility.” Gracias a la disponibilidad de imágenes en el ciberespacio, un nuevo grupo de creadores españoles denominados d-generados, entre los que destaca María Cañas, hace del found-footage su herramienta de trabajo para transformar el modo de percepción y recepción del cine. El uso de la tecnología digital, por su parte, modifica la materia fílmica para convertirla en etérea e impermanente. Me será útil el cotejo de las reflexiones de Slavoj Žižek con respecto al ciberespacio y la teoría de Benjamin para examinar estos nuevos modos de producción y distribución audiovisuales.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".