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Record W3092792217 · doi:10.3917/rda.207.0027

Dessin et non finito après le Jugement Dernier de Michel-Ange : l’espérance de la grâce et du salut.

2020· article· fr· W3092792217 on OpenAlexaff
Lizzie Boubli

Bibliographic record

VenueRevue de l Art · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArtContext (archaeology)HumanitiesArt historyFaithOrder (exchange)PhilosophyTheologyHistory

Abstract

fetched live from OpenAlex

This article focuses on the analysis of Michelangelo’s last drawings and the spiritual context to which they were destined. The most important characteristic of these drawings is that they are unfinished (non finito), which questions the intentions of the artist who practiced non finito in his early works. The last drawings – the most abundant production at a time when Michelangelo devoted himself to architecture – pose several questions about the purpose and its specificity. Several drawings were destined to be offered to intimate members of the circle of Viterbo. Vittoria Colonna, great devotee and intimate friend of Michelangelo was a member until 1547. Other drawings were characterized by the non finito that questioned their function. Was the non finito intentional or not? Why are Michelangelo’s last drawings, all in this technique? We must turn towards the increasingly intense spirituality of the artist, in the last years of his life, in order to attempt finding an answer. At the moment of the creation of the Last Judgment, he was very close to Vittoria Colonna and to the circle of Viterbo, whose aspiration was the renewal of the Christian religion by returning to a primitive faith. Michelangelo belonged to the circle of Viterbo that advocated a more authentic religiousness, preceding by some ten years the decisions of the Council of Trent.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.035
GPT teacher head0.237
Teacher spread0.202 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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