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Record W1576408213 · doi:10.4000/1895.2483

Quand la Vache qui rit devançait Félix le chat et Mickey la souris

2007· article· fr· W1576408213 on OpenAlexaff
Francis Lacassin

Bibliographic record

Venue1895 · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

En 1916, grâce à son inventeur Émile Cohl, le dessin animé fait une rencontre historique avec la bande dessinée française, en la personne de Benjamin Rabier. Un très populaire créateur d’une fresque animale dont les personnages se comportent comme des humains. Ignorant tout de la technique cinématographique, Rabier fait appel à Cohl dont il apprécie la récente animation de la bande dessinée des Pieds Nickelés. René Navarre, ex-interprète des Fantômas de Feuillade, assure la production des « Dessins animés de Benjamin Rabier ». D’octobre 1916 à mars 1917, Cohl et Rabier réalisent trois bandes avec un chien (la Journée de Flambeau, Flambeau au pays des surprises, les Fiançailles de Flambeau), une quatrième avec une cane (les Aventures de Clémentine). La rupture de Cohl avec Navarre entraîne une interruption de la série. Puis Rabier la poursuivra seul et de façon plus espacée jusqu’en 1922. La correspondance entre Rabier et Cohl permet de suivre au jour le jour la gestation de la plus ambitieuse tentative du dessin animé français, quatre ans avant Félix le chat et douze ans avant Mickey la souris.

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 score0.136
Threshold uncertainty score0.271

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0130.004
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0460.006

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 head0.020
GPT teacher head0.256
Teacher spread0.236 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venue1895Same topicThemes in Literature AnalysisFrench-language works237,207