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Record W2026946366 · doi:10.7202/030567ar

Manger le livre. Désémiotisation et imaginaire de la fin

2005· article· fr· W2026946366 on OpenAlexvenueno aff
Bertrand Gervais

Bibliographic record

VenueProtée · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicDiverse multidisciplinary academic research
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Un des traits de l’imaginaire de la fin, outre les scénarios apocalyptiques, est une langue devenue opaque, à la limite d’être une chose, ou alors une langue démultipliée, aux capacités illimités. Le chronotope de la fin provoque ce qu’on peut appeler une désémiotisation de la langue, liée à un déséquilibre des interprétants, par lesquels sont opérées les attributions de sens. Pour en rendre compte, l’auteur donne trois exemples, dont le plus important est tiré de l’Apocalypse de Jean. C’est la scène où l’Ange offre à Jean de manger un livre. Comment expliquer un tel geste ? Quelles en sont les conséquences ? L’auteur compare cette scène à un récit de Maurice Blanchot (Le Dernier Mot) et à la dernière scène du roman City of Glass de Paul Auster.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.027
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.039
GPT teacher head0.395
Teacher spread0.357 · 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".

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Citations2
Published2005
Admission routes1
Has abstractyes

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