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Record W1537024088 · doi:10.7202/045235ar

Un nouveau régionalisme ?

2011· article· fr· W1537024088 on OpenAlexvenueaboutno aff
Francis Langevin

Bibliographic record

VenueVoix et Images · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Sébastien Chabot (L’angoisse des poulets sans plumes et Le chant des mouches), Éric Dupont (La logeuse) et Christine Eddie (Les carnets de Douglas) campent une partie de l’action de leurs romans dans un Québec imaginé, dans des villages périphériques aux noms fictifs (Sainte-Souffrance, Notre-Dame-du-Cachalot et Rivière-aux-Oies). Cette « régionalité » est comparée, dans cet article, à l’étiquette attribuée entre autres aux écrivains français Richard Millet, Pierre Michon et Pierre Bergounioux. L’auteur montre que les enjeux de la représentation des régions, dans les productions québécoises abordées ici, se distinguent des enjeux de la « provincialité » souvent évoquée par la critique pour regrouper certaines productions romanesques contemporaines françaises. Si la question identitaire sociale et mémorielle (collective et individuelle) est un enjeu majeur des romans de Millet, Michon et Bergounioux, caractérisés aussi par leur registre sérieux qui en fait des « fictions critiques » (Viart), les Chabot, Dupont et Eddie font plutôt la part belle aux registres parodique (Dupont), carnavalesque (Chabot), ou encore à une tonalité « sentimentale » (Eddie), ce qui place ces romans québécois plutôt du côté de l’inventivité romanesque, en quoi ils s’apparentent davantage aux « fictions joueuses » (Blanckeman) des Jean Echenoz, Jean Rouaud, Jacques Roubaud, Antoine Volodine, etc.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.593
Threshold uncertainty score0.819

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.017
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.063
GPT teacher head0.274
Teacher spread0.211 · 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 designQualitative
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

Citations6
Published2011
Admission routes2
Has abstractyes

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