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Record W2807532506 · doi:10.7202/1045748ar

Laforgue, Hamlet et Bonnefoy : déporter, reporter Montevideo

2018· article· fr· W2807532506 on OpenAlexaffvenue
Nelson Charest

Bibliographic record

VenueÉtudes littéraires · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Literature and Critical Theory
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPhilosophyFableArtLiterature

Abstract

fetched live from OpenAlex

Cette étude porte sur la réécriture de « Hamlet » par Laforgue, dans ses Moralités légendaires. À partir d’une indication sur un « pavillon de Montevideo », aperçu par Laforgue à Hambourg, au retour du Danemark, nous situons sa fable dans le sillage de la critique d’Yves Bonnefoy, et notamment la notion de « readiness ». Nous proposons ensuite une relecture de la Moralité, où le personnage principal, avec les modifications que lui apporte Laforgue, représente au mieux une injonction à partir qui est vécue comme un retour aux origines, filiales notamment. Ainsi peut-on mieux comprendre le rôle de Montevideo dans l’oeuvre laforguienne : un lieu où on pourrait partir, maintenu à distance, comme horizon.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.309
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.011
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0040.003
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 head0.027
GPT teacher head0.265
Teacher spread0.237 · 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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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