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Record W3124922560 · doi:10.7202/1073430ar

Rubens after Caravaggio: The Entombment

2020· article· fr· W3124922560 on OpenAlexaffvenueabout
Thomas L. Glen

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesArtArt historyPhilosophy

Abstract

fetched live from OpenAlex

Cet article examine, sur le plan de style et de l’iconographie, la copie qu’a réalisée Rubens de la Mise au tombeau du Caravage. En même temps, nous tenterons d’assigner une date plus précise au panneau, entre 1611 et 1613. La Mise au tombeau de Rubens à Ottawa, d’après le tableau du Caravage, aujourd’hui au Vatican, semble démontrer la volonté du maître flamand d’en clarifier l’iconographie et partant d’en faire une icône plus consistante de la Contre-Réforme. Au moyen de changements subtils et de procédés d’illusion, Rubens traduit de manière plus dramatique l’idée que ce sont le corps et le sang du Christ qu’on est en train de descendre du monde bidimensionnel de la peinture jusque sur la table de l’autel au-dessous. Par ailleurs, Rubens redonne à la Vierge son véritable rôle de « Coredemptrix », tout en éliminant également la confusion qui règne dans l’oeuvre du Caravage en ce qui a trait à l’identification exacte des deux Marie à l’arrière-plan. Nul doute que Rubens admirait fort le retable du Caravage. Nous en avons la preuve dans l’attention toute particulière qu’il lui a réservée dans la version qu’il en a tirée après son retour d’Italie; version qu’il est loisible de reconnaître comme étant le prototype d’une série de tableaux de la Mise au Tombeau qu’il a peints peu de temps après.

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 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: none
Teacher disagreement score0.549
Threshold uncertainty score0.998

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.003

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 head0.019
GPT teacher head0.170
Teacher spread0.151 · 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

Citations1
Published2020
Admission routes3
Has abstractyes

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