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The Duchess of Malfi de John Webster ou le corps dans tous ses états: « Some said he was an hermaphrodite, for he could not abide a woman » (3. 2. 217-218)

2019· article· fr· W2924731354 on OpenAlexaff
Laëtitia Coussement-Boillot

Bibliographic record

VenueSillages critiques · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Du corps de la Duchesse enceinte, dévorant des abricots sur scène, dans la première scène de l’acte II, à la main tranchée dont se sert Ferdinand pour effrayer sa sœur (4.1.50), en passant par les effigies de cire, simulacres des corps morts d’Antonio et de ses enfants (4.1), Webster met en scène le corps dans tout ses états dans The Duchess of Malfi. Dans sa réécriture de la nouvelle de Painter, Webster a volontairement insisté sur la présence des corps dans leur dimension matérielle et biologique, ce d’autant plus que l’art théâtral qu’il pratique est un art vivant, reposant sur les corps des acteurs incarnant des personnages sur scène. Dans la pièce de Webster, le corps souffrant est omniprésent. Mais on décèle également une ambivalence du corps considéré à la fois comme matrice et tombeau, et parfois même comme point de rencontre du masculin et du féminin, rappelant alors la figure de l’hermaphrodite. Cette ambivalence du corps est à rapprocher de l’attitude contradictoire du dramaturge Webster envers son art, le théâtre.

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: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.011
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0130.002

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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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
Published2019
Admission routes1
Has abstractyes

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