MétaCan
Menu
Back to cohort
Record W2002869445 · doi:10.7202/201434ar

Fatalisme et merveilleux chez Michel Tremblay. Une lecture des Chroniques du Plateau Mont-Royal

2006· article· fr· W2002869445 on OpenAlexvenueno aff
François Rochon

Bibliographic record

VenueVoix et Images · 2006
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Imprégnant toute l'oeuvre de Michel Tremblay, et en particulier les Chroniques du Plateau Mont-Royal, le fatalisme est considéré ici comme une attitude mi-philosophique mi-religieuse dont il s'agit de retracer et d'analyser les figures et les effets discursifs. Enté sur le merveilleux que la reprise du mythe des Moires institue tout au long du cycle romanesque, le fatalisme chez Tremblay ne consiste pas à présenter le destin des personnages comme nécessité, arrêté depuis toujours comme c'est le cas chez les Grecs, mais plutôt comme contingence et hasard impossibles à connaître et à prédire. Aussi, l'idée de destin n'opère pas seulement dans l'ordre des individualités, mais comporte une dimension collective qui renvoie à l'appartenance ethnico-nationale des personnages. Figurée sous l'espèce de déesses du tricot, l'idée de fatalité comporte également une dimension religieuse, sous laquelle s'organise un culte de la féminité. Enfin, le fatalisme induit une conception de l'écriture, qui fait de l'écrivain le principe d'un destin incontournable appliqué à ce qu'il raconte, assumant ainsi par sa fonction narrative la fatalité dont les Moires transformées en tricoteuses constituent les figures de représentation littéraire.

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)0.001
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 score0.182
Threshold uncertainty score0.363

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.262
Teacher spread0.247 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueVoix et ImagesSame topicLinguistics and Discourse AnalysisFrench-language works237,207