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Record W3088570226 · doi:10.7202/1069662ar

Catherine de Médicis (1519–1589) et le portrait : esquisse d’une collection royale au féminin

2020· article· en· W3088570226 on OpenAlexafffundvenue
Chantal Turbide

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsUniversité de Montréal
FundersUniversité de Montréal
KeywordsPortraitReignExhibitionQueen (butterfly)PoliticsArt historyArtMiddle AgesHistoryLawAncient historyPolitical science

Abstract

fetched live from OpenAlex

This paper represents the first scholarly analysis of the collection of portraits amassed by Catherine de' Medici (1519–1589), Queen of France, during her reign of more than forty years. The fact that no portrait has yet been identified as having belonged to her may explain why this subject has never been broached. This paper will demonstrate that Catherine had a vision in her collecting, thus contradicting Louis Dimer’s 1926 opinion that she collected portraits without any specific program in mind. This article begins with a review of the main sources. Following Catherine’s death, more than 250 portraits in the Hôtel de la Reine in Paris were listed in the inventory drawn up in the summer of 1589. Some documents, mainly correspondence, deal with their acquisition and name French and Italian artists. This article then looks at other European Renaissance collections of portraits. Comparisons with these reveal that Catherine de' Medici's collection – consisting of portraits of family members, political figures, rulers, kings and queens – was among the most important of her time. Moreover, it will be shown that Catherine seems to have introduced to France the new concept of an exhibition space, a gallery, entirely devoted to portraits, which was to become very popular in the seventeenth century. This essay closes with a case study exploring the exchanges of portraits between France and England in 1571 and, in particular, 1580 and 1582, thus exposing the symbolic function of portraiture in the political sphere and the role of the diplomatic corps.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.193
Teacher spread0.168 · 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 teacher head, not a consensus.

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
Published2020
Admission routes3
Has abstractyes

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