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Record W2893595590 · doi:10.4000/1895.6035

Traduire l’avant-garde : Léon Moussinac, Juan Piqueras et la pédagogie critique de cinéma

2018· article· fr· W2893595590 on OpenAlexaff
Enrique Fibla-Gutiérrez

Bibliographic record

Venue1895 · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesArtPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Cet article se concentre sur la relation entre les critiques Juan Piqueras et Léon Moussinac et leurs projets pour une pédagogie critique du cinéma. L’essai adopte une lecture alternative de l’avant-garde comme un modèle « pouvant être traduit » pour démontrer la synergie productive ente les cultures cinématographiques radicales françaises et espagnoles de la fin des années 1920 et du début des années 1930. En tant que traducteurs des luttes sociales en initiatives culturelles, Piqueras et Moussinac ont poussé l’avant-garde internationale et certaines initiatives militantes à être adoptées dans et adaptées à leur contexte local. Dans un contexte politique et social de plus en plus radicalisé, l’esthétique révolutionnaire n’est cependant pas suffisante pour Moussinac et Piqueras. L’art ne peut simplement se « dissoudre dans la vie de tous les jours » de manière abstraite, mais doit au contraire donner lieu à la création d’institutions culturelles au service d’une émancipation politique et artistique. Les projets de Piqueras et Moussinac révèlent non seulement la manière dont l’intervention du cinéma dans la société était imaginée, mais aussi sa mise en pratique dans les domaines culturels, politiques et sociaux de la vie de tous les jours, au-delà des simples cercles esthétiques élitistes et des institutions étatiques.

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)0.003
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.015
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.286
Teacher spread0.244 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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