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Record W4405659405 · doi:10.18192/rceh.v46i2.4559

El México rojo: Entropic Humour, Naturalism, and Death in Luis Buñuel’s El río y la muerte and Ensayo de un crimen

2024· article· en· W4405659405 on OpenAlexvenueno aff
Ivan Kenny

Bibliographic record

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

Abstract

fetched live from OpenAlex

This article analyzes death, violence, and machismo in two Mexican films by Luis Buñuel, El río y la muerte (1954) and Ensayo de un crimen (1955), starting from a naturalist perspective (Deleuze, 1986) and applying the concept of “entropic” humour (O’Neill, 1990). Despite numerous studies on surrealist humour in Buñuel’s films, it is necessary to investigate how his “peculiar” black humour operates, both in his naturalist works and in a Mexican context, “the chosen land of black humour” (Breton, 1941). I contend that both films satirically link violent impulses and stereotypical cultural constructions surrounding death in Mexico.

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 score0.027
Threshold uncertainty score0.053

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 studies0.0060.006
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.241
Teacher spread0.226 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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