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Record W4398191116 · doi:10.7202/1110987ar

L’intertexte du 16<sup>e</sup> siècle de <i>L’île de la Demoiselle</i> d’Anne Hébert : Marguerite de Navarre, André Thevet et François de Belleforest

2015· article· fr· W4398191116 on OpenAlexaffvenue
Claude La Charité

Bibliographic record

VenueLes Cahiers Anne Hébert · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsArtHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans L’île de la Demoiselle , Anne Hébert s’inspire de la légende de Marguerite de Roberval, relatée par quatre textes de la Renaissance. L’originalité de la pièce d’Anne Hébert tient au fait qu’elle tire parti de l’ensemble de ces récits. La dramaturge se montre une lectrice attentive de Marguerite de Navarre, pour ce qui est du personnage de la femme forte, d’André Thevet, s’agissant des toponymes et du motif de l’exil, et de François de Belleforest, pour ce qui est de la cruauté de Roberval et des amours morganatiques de sa pupille. En combinant les éléments fournis par tous les textes à sa disposition, elle a signé la variante littéraire qui est assurément la plus cohérente sur le plan psychologique et la plus fouillée d’un point de vue historique.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.245
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2015
Admission routes2
Has abstractyes

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