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Record W3167198524

Il Maestro delle Effigi Domenicane, Bernardo Daddi e Puccio di Simone a Santa Marta a Montughi

2020· article· it· W3167198524 on OpenAlexaboutno aff
Fabiana Buitor Carelli

Bibliographic record

VenueParagone. Parte arte · 2020
Typearticle
Languageit
FieldArts and Humanities
TopicHistorical Art and Architecture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIconographyPaintingArtArt historyQuarter (Canadian coin)Order (exchange)HumanitiesHistoryArchaeology
DOInot available

Abstract

fetched live from OpenAlex

There are still a number unresolved areas in the study of the prolific Master of the Dominician Effigies, the anonymous Florentine painter and illuminator active in the second quarter of the fourteenth century. New elements for improving our understanding of the artist's oeuvre appear in two paintings housed in the Galleria dell'Accademia in Florence, with iconography indicating their provenance from a convent of the female order of Umiliate, and specifically from Santa Marta a Montughi, founded in 1343. This hypothesis is supported by documents regarding the suppression of religious institutions effected by the Italian government in 1866, in which the two panels appear together with a polyptych (also of unknown provenance) painted by Bernardo Daddi with the assistance of Puccio di Simone.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.224
Teacher spread0.192 · 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
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

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