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Record W4405659393 · doi:10.18192/rceh.v46i2.4932

El cine como patrimonio afectivo en Arrebato de Iván Zulueta

2024· article· es· W4405659393 on OpenAlexvenueno aff
Iván Moure Pazos

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2024
Typearticle
Languagees
FieldArts and Humanities
TopicCinema History and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Tras la resaca de más de 40 años de dictadura franquista, Iván Zulueta “irrumpe” en el panorama cinematográfico español con una obra tan inclasificable como vanguardista: Arrebato (1979). Se trataba de un filme tremendamente rupturista, tanto en el abordaje de las temáticas tratadas (drogas, sexo, y esmerada renovación de la tradición vampírica) como en su valiente concesión a la experimentación sonora y visual tomada del cine underground neoyorkino y barcelonés de los años 60 y 70. Pero, Arrebato, fue, ante todo, un filme autobiográfico, autorreferencial y visionario. Zulueta y Arrebato convergen y se entreveran en un mismo e inequívoco relato de fantaterror. El presente artículo despeja las claves interpretativas de esta relación siamesa entre el autor y su única obra testamentaria, aportando nuevas apreciaciones sobre una de las películas más singulares del catálogo fílmico español.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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