El cine que nos lleva. Entrevista con José Luis Sampedro
Bibliographic record
Abstract
José Luis Sampedro was one of the great Spanish humanists of the late twentieth century and the beginning of the new millennium. An economist, but also a novelist, poet, playwright and essayist, Sampredro was, above all, an intellectual committed to his time. Two of his novels were adapted for the cinema: El rio que nos lleva (Antonio del Real, 1989) and The Etruscan Smile (La sonrisa etrusca, Oded Binnun and Mihal Brezis, 2018). This interview explores his relationship with cinema, his myths and his preferences. The writer expresses, with his characteristic freedom, his opinions about different films that had left an impression on him throughout his life, about the future of cinema and about the work of some of the filmmakers who most interested him. In short, it is an in-depth conversation on the undeniable influence that this modern artistic manifestation has had on contemporary society and culture.
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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 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".