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Record W4390330723 · doi:10.3917/rma.242.0427zc

Kathryn McKinley , Chaucer’s House of Fame and Its Boccaccian Intertexts. Image, Vision, and the Vernacular , Toronto, Pontifical Institute of Medieval Studies, 2017 ; 1 vol., xvi –228 p. ( Studies and Texts , 206). ISBN : 978-0-88844-206-2. Prix : € 85,00.

2019· article· en· W4390330723 on OpenAlexaboutno aff
Martine Yvernault

Bibliographic record

VenueLe Moyen Age · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsVernacularHistoryArtClassicsLiterature

Abstract

fetched live from OpenAlex

Deux des plus grandes baronnies de France, Sully et Craon, furent à la fin du xive siècle mises entre les mains d’une héritière convoitée, Marie de Sully. D’abord fiancée au fils aîné du duc de Berry, elle épousa par la suite Guy VI de La Trémoille, favori du duc de Bourgogne. Guy VI fut toutefois capturé à Nicopolis, et mourut en captivité en 1397, et Marie de Sully se remaria à Charles d’Albret, cousin germain du roi de France et futur connétable. Lorsqu’elle mourut en 1410, la coutume donnait aux enfants de son premier mariage, les La Trémoille, la quasi-totalité de l’héritage. Mais la dame de Sully, par des actes répétés et enregistrés devant notaires, les avait expressément déshérités au profit des enfants de son second mariage, les Albret. Cet article se propose de retracer la querelle entre les deux familles, qui dura plus de quarante ans, et se greffa sur des conflits extérieurs : guerre civile entre Albret-Armagnacs et La Trémoille-Bourguignons, puis querelle entre le favori de Charles VII, Georges de La Trémoille, et le sire d’Albret, partisan du connétable de Richemont. À travers ces péripéties se pose la question de la possibilité ou non pour une grande dame de contrevenir à la coutume pour disposer librement de ses biens.

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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.065
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0360.014

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 head0.025
GPT teacher head0.268
Teacher spread0.243 · 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
GenreReview

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
Published2019
Admission routes1
Has abstractno

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