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Record W1494100296 · doi:10.26522/vp.v7i2.345

De la bande dessinée comme de la littérature

2010· article· fr· W1494100296 on OpenAlexvenueno aff
Sylvain Rhéault

Bibliographic record

VenueVoix Plurielles · 2010
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

On range sous la bannière de la littérature des genres comme la poésie, le roman et le théâtre. La bande dessinée, quant à elle, se voit reléguée aux oubliettes de la paralittérature (même si on n'entend plus beaucoup ce mot aujourd'hui) avec le roman policier, le polar et la science fiction. Pourtant, la distance entre la représentation d'une pièce de Racine et un poème d'Éluard n'est-elle pas plus grande que celle entre un roman à caractère autobiographique d'Amélie Nothomb et une bande dessinée de Marjane Satrapi? Nous proposons d'examiner l'oeuvre Persepolis de Marjane Satrapi qui se démarque nettement de la production traditionnelle par des choix originaux de sujets et de styles. Nous analyserons les caractéristiques de Persepolis en tant qu'oeuvre représentative d’une nouvelle école de bande dessinée. Seront examinés entre autres les choix de format (couverture, nombre de pages, en noir et blanc), de forme (dessin essentialiste) et de fond (autobiographie, expérimentation) qui se comparent avantageusement avec ceux de la littérature contemporaine.

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: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.124

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 studies0.0040.005
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0370.007

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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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Same venueVoix PluriellesSame topicLinguistics and Discourse AnalysisFrench-language works237,207