MétaCan
Menu
Back to cohort
Record W3110961167 · doi:10.3917/nre.026.0043

Et Genette inventa la métalepse

2020· article· fr· W3110961167 on OpenAlexaff
Françoise Lavocat

Bibliographic record

VenueNouvelle revue d’esthétique · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsFrancophone University Association
Fundersnot available
KeywordsHumanitiesArtPhysics

Abstract

fetched live from OpenAlex

Cet article propose de revenir à la très influente théorie de la métalepse élaborée par Gérard Genette entre 1972 et 2004. Est mis en valeur et discuté l’élargissement progressif de la notion auquel Genette procède, à la faveur du passage de la narratologie aux théories de la fiction et de l’adoption d’une perspective intermédiale. Il est montré que les ambiguïtés présentes dès Discours du récit , en 1972 (qui résident principalement dans l’équivoque entre les niveaux du récit et la frontière entre réalité et fiction) ne font que s’amplifier au point de faire disparaître, en fin de compte, et les frontières de la fiction et les contours du concept de métalepse. Genette accentue ainsi une tendance majeure de notre époque.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.032
Scholarly communication0.0060.011
Open science0.0010.004
Research integrity0.0020.003
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 head0.052
GPT teacher head0.282
Teacher spread0.230 · 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

Citations7
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNouvelle revue d’esthétiqueSame topicLinguistics and Discourse AnalysisFrench-language works237,207