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Record W3011858509 · doi:10.7202/1067284ar

Repenser l’histoire des médias à partir du référent balzacien dans Verlorene Illusionen de Helmut Wietz

2019· article· fr· W3011858509 on OpenAlexvenueno aff
Louise-Hélène Filion

Bibliographic record

VenueEurostudia · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Dans le roman graphique Verlorene Illusionen (2017), Helmut Wietz s’inspire librement d’Illusions perdues de Balzac, mais il déplace la satire des milieux littéraires et journalistiques parisiens dans le contexte de l’Allemagne divisée. L’Allemagne sur le chemin de la réunification de 1989-1990, et celle de la République démocratique allemande des années 1969-1970 imaginées par Wietz partagent toutefois des traits du monde hypercontemporain, le bédéiste s’appuyant sur l’anachronie pour mener une critique sur l’emprise des médias et leur mise en images du réel; pour déplorer l’instrumentalisation de l’information, de la littérature et des mots. Cet article présente les modalités de l’appropriation de l’oeuvre balzacienne dans le contexte d’une réécriture de l’histoire des médias en RFA-RDA; l’examen de l’emploi par Wietz des ressources propres au médium de la bande dessinée – les choix narratifs, l’organisation du lettrage et des lieux, etc. – sera également éclairant quant à la nature du traitement wietzéen de l’Histoire.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.021
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.207
Teacher spread0.187 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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