MétaCan
Menu
Back to cohort
Record W4387787811 · doi:10.25145/j.latente.2023.21.07

El cine que nos lleva. Entrevista con José Luis Sampedro

2023· article· en· W4387787811 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLatente Revista de Historia y Estética audiovisual · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Journalism, and Communication History
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsMovie theaterHumanismMythologyConversationArtArt historyLiteratureSociologyPhilosophyTheology

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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.

Opus teacher head0.042
GPT teacher head0.279
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it