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Record W4200438264 · doi:10.15826/izv2.2021.23.4.066

Madonna del Libro in the Collection of the Sverdlovsk Regional Museum of Local Lore: The First Data of Attribution and Technical Study of the Picture

2021· article· en· W4200438264 on OpenAlexaboutno aff
Denis V. Ilichev

Bibliographic record

VenueIzvestia of the Ural federal university Series 2 Humanities and Arts · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Architecture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingReinterpretationArtQuarter (Canadian coin)Art historyVisual artsHistoryArchaeologyAesthetics

Abstract

fetched live from OpenAlex

This article is devoted to the attribution of the Madonna and Child painting from the collection of the Sverdlovsk Regional Museum of Local Lore (Yekaterinburg), corresponding to the image of Madonna del Libro distributed in Italy in the sixteenth century. Referring to works of Italian researchers, the author reveals the original source that served as the basis for creating the iconographic work, i.e. a work of Perino del Vaga, an Italian artist. Further research helps establish the fact that the Ural canvas is a copy of an original painting of the Spanish artist Pedro de Rubiales who worked in Italy in the 1640s–1660s and reinterpreted P. del Vaga’s work. However, a technological analysis of the Ural canvas demonstrates that it was created much later, between the second quarter and the mid-nineteenth century. The unknown author of the picture studied in the article made attempts to reconstruct the technology of the original, but the discrepancies between them and the materials and methods of the Italian painting from between the sixteenth and seventeenth centuries revealed in the analysis of the canvas, ground, the stratigraphy of the paint layer, and paint binder make it possible to speak about the author’s insufficient awareness of the principles of painting of the era and region he referred to in his reinterpretation. Thus, the work in question demonstrates the peculiarities of creating imitations of sixteenth-century works at a later time. The article also proposes a version on the place and time of restoration of the painting, formulated on the basis of comparing data on the use of duplication technology, the design of the subframe, the presence of a signature on the subframe, and the correlation of said features with records from the catalogue of the Nizhny Tagil collection of paintings by D. P. Shorin. They suggest that work to improve the preservation of the painting was performed in the workshops of the imperial Hermitage by restorer N. A. Sidorov.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.007
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.003

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 head0.045
GPT teacher head0.196
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; 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 designObservational
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
Published2021
Admission routes1
Has abstractyes

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