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Record W1527458168 · doi:10.7202/045233ar

Narrativités minimalistes contemporaines

2011· article· fr· W1527458168 on OpenAlexaffvenueabout
Marie-Pascale Huglo, Kimberley Leppik

Bibliographic record

VenueVoix et Images · 2011
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Le discours critique fait du minimalisme narratif une caractéristique du contemporain en France comme au Québec. Marque par excellence d’un retour à la lisibilité et au récit, le minimalisme, dans quelques-unes de ses formes marquantes, relève pourtant d’une sorte de malaise : les réductions de tous ordres, la disparition d’enjeux d’envergure et la dilution de la littérature dans un univers médiatique éclaté font de cette tendance un « amoindrissement », un « repli » plus ou moins nostalgique. Si les contextes historiques et culturels du Québec et de la France diffèrent, la critique tend de part et d’autre à associer la « réduction » minimaliste à la perte d’envergure de la littérature contemporaine, qui raconterait « malgré tout », que ce soit sur un mode fragmentaire, intimiste ou ludique. Nous proposons de revenir sur cette conception, de faire travailler les convergences et divergences critiques entre la France et le Québec pour tenter de cerner une certaine narrativité minimaliste, distincte de ce qu’on appelle parfois « le mode mineur ». Nous nous basons sur une lecture de Jean-Philippe Toussaint, Larry Tremblay et Elise Turcotte pour remettre en question l’idée d’une réduction minimaliste et reconsidérer le rapport entre le sensible et le sens, en insistant sur l’importance, peu soulignée jusqu’ici, de la tension narrative et des imaginaires qui mobilisent ce type de récit.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.322
Threshold uncertainty score0.641

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.015
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.001

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 head0.104
GPT teacher head0.303
Teacher spread0.199 · 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
Published2011
Admission routes3
Has abstractyes

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