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Record W2944894411 · doi:10.7202/1059516ar

LE TEMPS IMMOBILE DU HÉROS CONTEMPORAIN (Fortier, Chen, Huglo)

2019· article· fr· W2944894411 on OpenAlexaffvenue
Manon Auger

Bibliographic record

VenueVoix et Images · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Literature and Critical Theory
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Dans un contexte où l’écrivain contemporain accorde de plus en plus d’importance aux « vies minuscules » et aux personnages non romanesques, il est difficile d’envisager qu’il existe une forme de « héros » contemporain. Mais peut-être est-ce parce que notre conception du héros romanesque emprunte encore trop au régime moderne d’historicité, c’est-à-dire à ce temps où il était encore possible, justement, de croire à la grandeur d’une personnalité capable d’imprimer sa marque sur l’Histoire et sur le temps ? Or, si l’individu contemporain et son avatar fictionnel sont privés des repères, des forces et des certitudes qui motivaient l’individu moderne, sont-ils pour autant dépourvus de grandeur ? C’est en partant de cette interrogation et à partir de l’exemple de Du bon usage des étoiles de Dominique Fortier (Alto, 2008) puis d’Immobile de Ying Chen (Boréal, 1998) et de La respiration du monde de Marie-Pascale Huglo (Leméac, 2010) que l’auteure pose l’hypothèse que, si une telle figure existe, c’est dans son rapport particulier au temps qu’elle est le plus susceptible de se révéler. On verra que c’est surtout dans un rapport antagonique avec la figure du héros moderne qu’un certain héroïsme peut se révéler, mais plus précisément dans ce que l’auteure appelle le temps « immobile » qui lui est particulier, temps de la résistance qui s’oppose au temps futuriste d’autres personnages.

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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.013
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.222
Teacher spread0.213 · 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
Published2019
Admission routes2
Has abstractyes

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