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Record W2560313138

Henry Avice, un collectionneur du Grand Siècle: "Les Berges d'Arcadie" de Nicolas Poussin en leur milieu

2016· article· fr· W2560313138 on OpenAlexaboutno aff
Gabriel Batalla Lagleyre

Bibliographic record

VenueRevue de l Art · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingArtAmateurArt historyQuarter (Canadian coin)Performance artHumanitiesVisual artsHistory
DOInot available

Abstract

fetched live from OpenAlex

For the most forgotten today, Henry Avice (ca. 1615-1680), called the chevalier Avice, had a sufficiently established reputation in the 17th century art world, so that Pierre-Jean Mariette could say of him, well after his death, that he had been one of the best connoisseurs of his time. By profession an engineer, his interest in art was significantly expressed all his life. A fairly talented amateur artist, his aptitude as a draughtsman, as an engraver and as a painter earned him the enviable situation of drawing master to Louis XIV. Well placed in the royal circle, close to several important collectors, he himself collected works of art. Owner of some fifty paintings, among which were masterpiece by Veronese and by Poussin as well as numerous landscapes of lesser interest, and several hundred drawings, which stressed his own practical and even pedagogical tendency, Avice owned a chosen selection of works of art, which, through the study of the multiplicity of its facets, is worthy of interest for the understanding of Parisian collecting during the third quarter of the century. Above all it is appropriate to explore the relation between the chevalier and Nicolas Poussin: Avice, who could have met the master during the long years he spent in Italy, was one of the first engravers of the painter's work, and within the limits of his modest means, a fervent collector of his works. His posthumous inventory thus reveals that he was the first known owner of the famous Berger d'Arcadie.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.275
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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.193
Teacher spread0.183 · 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
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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