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Record W3115638427 · doi:10.4000/books.pup.24977

Un hybride germano-canadien au cœur de Siegfried et le Limousin

2014· book-chapter· fr· W3115638427 on OpenAlexaboutno aff
Antoinette Weber-Caflisch

Bibliographic record

VenuePresses universitaires de Provence eBooks · 2014
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Mon propos est de relire le roman que Jean Giraudoux a écrit en 1922 sous le titre Siegfried et le Limousin dont il a tiré en 1928 un arrangement théâtral intitulé Siegfried. L’écriture subjective permet d’étendre à l’ensemble du roman une ambiguïté concernant le statut existentiel de l’un de ses personnages. L’écrivain français Forestier « disparu » sur l’un des champs de bataille de la Grande guerre est-il vraiment l’amnésique rebaptisé en Allemagne Siegfried‚ ou est-il décédé et ne survit-il que dans le rêve éveillé du narrateur ? Le roman canadien du Français Louis Hémon‚ Maria Chapdelaine‚ que cite Siegfried et le Limousin et dont il s’inspire (ce qui n’est pas le cas de Siegfried‚ où Forestier ne fera clairement qu’un avec Siegfried) permet d’éclairer le sens de cette ambiguïté dont Giraudoux finira par se désintéresser‚ ayant lui-même fait le deuil d’un ami tombé à la guerre. L’achèvement de ce processus lui permet de restaurer dans son drame une bonne distance et une claire frontière entre les domaines français et allemands‚ de même qu’avec son modèle canadien. L’intérêt de ces relations entre œuvres est que SL est aussi un essai littéraire romançant les notions de sources‚ d’influences‚ 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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.914
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.002

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 head0.012
GPT teacher head0.180
Teacher spread0.167 · 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 designTheoretical or conceptual
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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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