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Record W4393201326 · doi:10.5206/tc.v4i1.17165

L’espace filmique abject : Naked Lunch et A History of Violence de David Cronenberg

2024· article· fr· W4393201326 on OpenAlexaff
Marie Pascal

Bibliographic record

VenueTranscr(é)ation · 2024
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsThe King's University
Fundersnot available
KeywordsArtHumanitiesArt history

Abstract

fetched live from OpenAlex

Dans cette étude consacrée à Naked Lunch (Burroughs, 1959 ; Cronenberg, 1991) et A History of Violence (Wagner et Locke, 2005 ; Cronenberg, 2005), je propose d’articuler les notions d’image-espace (Gaudin, 2014) et de corps filmique (Shaviro, 1994) afin de montrer que ces transcréation de David Cronenberg ont un impact corporel et engendrent des sensations culpabilisantes pour le public – soit l’anempathie (dans le premier exemple) et l’excitation extrême (dans le second). À travers mes analyses de ces films « infilmables » qui empruntent un certain nombre de sèmes abjects à leurs hypotextes, je désire non seulement rendre compte de leurs effets sur notre corps mais aussi expliquer le rôle que jouent les différentes composantes du médium filmique (monstration certes mais aussi cadrage et bande sonore) pour l’élaboration d’un paysage filmique abject. J’argue que le réalisateur torontois, à la fois source de fascination et de haine si l’on en croit ce qui a été écrit à son sujet, propose une nouvelle forme de cinéma qui, par le truchement de l’abjection, pave la voie pour la libération de notre imaginaire.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.239
Teacher spread0.211 · 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 teacher head, not a consensus.

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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