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La Duchesse d’Amalfi et la Querelle des femmes

2019· article· fr· W2935761472 on OpenAlexaff
Anny Crunelle Vanrigh

Bibliographic record

VenueSillages critiques · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical and Literary Analyses
Canadian institutionsOpen Text (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

En inscrivant La Duchesse d’Amalfi dans la Querelle des femmes, comme le suggèrent Linda Woodbridge et Christy Desmet, Webster reproduit les débats de la première modernité opposant philogynes et misogynes sur la question de la femme. Il en reproduit la rhétorique épidictique, place les questionnements de la Querelle (gynocratie, célibat, mariage et veuvage, accès au corps, nature de la femme) au centre de la pièce et convoque les représentations culturelles propres à chaque camp dans les débats qui opposent la Duchesse aux Aragonais. La monumentalisation de la Duchesse apparaît dans cette perspective comme son inscription dans le catalogue des exempla invoqués de part et d’autre. Cependant, le propos de la pièce, semble-t-il, n’est pas tant de prendre position dans la Querelle, comme le signalent en creux les incertitudes de la critique, que de tenir un propos herméneutique sur la Querelle, et notamment sur la construction des polarisations qui la constituent.

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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.303
Teacher spread0.269 · 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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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