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Record W2936831052 · doi:10.4000/books.pur.53635

Alice Munro

2014· preprint· hu· W2936831052 on OpenAlexaboutno aff
Corinne Bigot

Bibliographic record

VenuePresses universitaires de Rennes eBooks · 2014
Typepreprint
Languagehu
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceHumanitiesAlice (programming language)ArtArt history

Abstract

fetched live from OpenAlex

Ce travail, envisageant l'ensemble de l'œuvre de la nouvelliste canadienne Alice Munro (quatorze recueils entre 1968 et 2012), se propose d'étudier la façon dont le silence quitte l'univers diégétique pour contaminer la narration et l'écriture, soit un passage des politiques du silence à une poétique du silence, sensible dans l'art de la nouvelle tel que le pratique Alice Munro. La première partie étudie la représentation d'une « communauté du silence » et le rôle du silence dans les jeux de pouvoir ainsi que la représentation de la censure et du « silenciement ». la seconde partie étudie la façon dont ponctuation et typographie sont utilisées pour dessiner sur l'espace textuel les voix et paroles silenciées. La troisième partie est consacrée aux représentations des « corps et lieux du silence » : le corps féminin, tantôt objet de censure, tantôt menacé par la perte de la parole, tantôt lieu où le secret vit en silence, et le paysage canadien, dont les surfaces et couleurs ont pour rôle de simultanément cacher et révéler la présence des secrets et silences. La dernière partie tente de définir la poétique du silence ou les silences de la nouvelle : réticence, omissions, mensonges, superpositions, textes fantômes, fragments, refus de la clôture caractérisent en effet les nouvelles d'Alice Munro.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.257
Threshold uncertainty score0.859

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2570.062

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 head0.013
GPT teacher head0.217
Teacher spread0.204 · 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
GenreOther

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

Citations8
Published2014
Admission routes1
Has abstractyes

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