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Record W4379986429 · doi:10.1080/09639489.2023.2170338

Barthes et le cinéma-vérité dans le film « La Lutte »

2023· article· fr· W4379986429 on OpenAlexaboutno aff
Antoine Coppola

Bibliographic record

VenueModern & Contemporary France · 2023
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Le film « La Lutte » de Michel Brault a été réalisé en 1961 sous l’influence assumée de Roland Barthes et de son article « Le Monde où l’on catche ». Barthes a participé au tournage et il a influencé la conception du film. Souvent évoqué rapidement à propos de Barthes et du cinéma au Québec, ce film est rarement étudié en détails sous l’angle barthésien. Moins connu que « Le Sport et les hommes » réalisé avec les commentaires de Barthes par Hubert Aquin, la même année, « La Lutte » marque pourtant mieux l’influence barthésienne sur le nouveau cinéma vérité. Pour Aquin, Barthes n’avait pu écrire qu’un commentaire, et il s’était vu contraint à un jeu d’équilibriste entre sa volonté de mytho-analyser le sport et la nouvelle opacité de la médiatisation du sport ; pour « La Lutte » l’ensemble du dispositif filmique, contenu et forme sont sous influence barthésienne, et pour comble, il ne contient aucun commentaire. Habité de propositions formelles et de réévaluations idéologiques, « La Lutte » devra rester comme la contribution de Barthes en acte au Cinéma-direct.

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)0.002
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: none
Teacher disagreement score0.131
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0160.002

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 head0.037
GPT teacher head0.257
Teacher spread0.219 · 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
Published2023
Admission routes1
Has abstractyes

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