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Record W2550865138 · doi:10.14529/ssh160117

The artists brothers Basov’s ornamental art (1580—1630-ies): for historiography of the problem

2016· article· en· W2550865138 on OpenAlexaboutno aff
E. Sherstobitova

Bibliographic record

VenueBulletin of the South Ural State University Series «Social Sciences and the Humanities» · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyStyle (visual arts)FlourishingArtQuarter (Canadian coin)Art historyLiteratureHistoryClassicsArchaeologyPsychology

Abstract

fetched live from OpenAlex

The research based on the studying of Old Russian manuscripts, ornamentation revealed artists, among them brothers Stefan Basov, Feodor Basov, Gavrila (Ivan) Basov — outstanding masters during the birth and flourishing of Early Printed style ornament occupied special place. Brothers Basov,s art has not been studied before the start of the 21st century. The great interest is connected with the identification of new manuscripts, created by the brothers. Its description from the point of view of Old Russian manuscripts, decoration requires further research. The paper is concerned with historiography of brothers Stephan, Feodor and Gavrila (Ivan) Basov,s art. The research is about Early Printed style in the Old Russian manuscripts at the last quarter of the 16th — the first third of the 17th centuries.

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 score0.005
Threshold uncertainty score0.019

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 studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.164
Teacher spread0.152 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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Same venueBulletin of the South Ural State University Series «Social Sciences and the Humanities»Same topicRenaissance Literature and CultureFrench-language works237,207