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Record W3047277366 · doi:10.7202/1070822ar

Pop Art and Nostalgia: The New Lessons of David Vandermeulen’s Ric Remix

2020· article· fr· W3047277366 on OpenAlexvenueno aff
Hugo Frey

Bibliographic record

VenueRecherches sémiotiques · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesArt history

Abstract

fetched live from OpenAlex

Dans cet article l’auteur propose une analyse originale de l’oeuvre de David Vandermeulen, Ric Remix (2012), en soulignant la manière dont cette bande dessinée s’approprie et réinvente la série classique réalisée par Tibet & Duchateau, « Ric Hochet ». Le personnage de Ric Hochet est d’abord apparu pour la première fois dans le Magazine Tintin avant sa sérialisation à compter de 1961. Les aventures de Ric Hochet sont encore publiées de nos jours. L’article se sert de l’oeuvre de Vandermeulen pour montrer qu’elle ne correspond pas aux nombreuses attentes contemporaines concernant la relation entre bande dessinée et Pop Art, ni à la mode actuelle pour la nostalgie en tant que topos contemporain de la narration graphique. L’hypothèse défendue ici est que Ric Remix montre que le format narratif graphique peut utiliser et récupérer des images et des techniques pop art sans ressentiment. Dès lors, il appert que le travail rétro peut offrir de nouvelles perspectives fascinantes lorsqu’il est soutenu par une philosophie politique forte.

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 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 score0.766
Threshold uncertainty score0.930

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.173
GPT teacher head0.325
Teacher spread0.152 · 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.

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
Published2020
Admission routes1
Has abstractyes

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