MétaCan
Menu
Back to cohort
Record W1514769518 · doi:10.4000/comicalites.1566

La série Paul de Michel Rabagliati : récits d’espaces et de temps

2019· article· fr· W1514769518 on OpenAlexaboutno aff
Sylvie Dardaillon, Christophe Meunier

Bibliographic record

VenueComicalités · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

En établissant des liens aussi étroits entre une narration littéraire et une narration dessinée, la bande dessinée semble représenter un médium privilégié pour mettre le temps de nos vies en espace. Entre 1999 et 2011, Michel Rabagliati, auteur québécois, consacre sept albums à la vie de Paul, son double diégétique. Ces volumes qui alternent short stories et graphic novels relatent des tranches de la vie de Paul, depuis ses 10 ans jusqu’à sa vie adulte. Le recours régulier à l’analepse ou à la prolepse, expression de l’intériorité du narrateur, est systématiquement accompagné d’une reconstitution des lieux traversés, fréquentés par lui, expression de son extériorité. Temporalité et spatialité semblent donc concourir à la construction du personnage, à son existence même. En outre, les relations qu’entretient Paul avec son passé et les espaces de son passé sont autant de marqueurs qui font écho dans la propre vie des lecteurs en mobilisant intertextualité et intericonicité.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.002

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 head0.307
Teacher spread0.279 · 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 designQualitative
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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueComicalitésSame topicLinguistics and Discourse AnalysisFrench-language works237,207