MétaCan
Menu
Back to cohort
Record W1517098128 · doi:10.7202/014708ar

Les terres dévastées de Pierre Yergeau

2007· article· fr· W1517098128 on OpenAlexaffvenue
Bertrand Gervais

Bibliographic record

VenueVoix et Images · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Dans cet article, l’auteur examine l’esthétique des sphères parallèles présente dans les romans du cycle de la ville-île de Pierre Yergeau et, afin d’en décrire les principales composantes, il commence par s’arrêter sur le roman intitulé 1999. L’attention se porte sur le personnage de Charles Hoffen, témoin par excellence de la logique de l’interruption sous-jacente à cette esthétique. L’hypothèse soutenue est qu’un récit brisé ne peut que mettre en scène des personnages détraqués, et que Charles en est l’exemple par excellence. Cette perspective s’élargit ensuite pour montrer, dans un premier temps, le système de communication implicite qui réunit les divers textes du cycle de la ville-île. Dans un deuxième et dernier temps, l’auteur étudie les relations entre ce cycle et l’un de ses hypotextes, le poème moderniste de T.S. Eliot, The Waste Land. On verra que la terre dévastée n’est pas qu’un thème chez Yergeau, mais un intertexte aux ramifications étonnantes.

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: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.009
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.039
GPT teacher head0.331
Teacher spread0.293 · 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 routes2
Has abstractyes

Explore more

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