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The Imperial Academy of Arts and Moscow’s Life Class in the Era of Nicholas I

2022· article· en· W4313394281 on OpenAlexaboutno aff
O B Kalugina

Bibliographic record

VenueRussian Foundation for Basic Research Journal Humanities and social sciences · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsEmperorSculptureReignThe artsPaintingInstitutionQuarter (Canadian coin)Visual artsClass (philosophy)ArtArt historyArt schoolVisual arts educationClassicsHistoryAncient historySociologyLawPolitical scienceArchaeologySocial sciencePhilosophyPolitics

Abstract

fetched live from OpenAlex

The paper, based on newly published sources, analyzes the initial stage of the formation of Moscow art school, namely, the Life, and then the Art class and Moscow School of Painting and Sculpture. This process unfolded during the reign of Emperor Nicholas I and with his undoubted support. In the light of new information, the relationship between the Imperial Academy of Arts and the Moscow educational institution appears completely different than it was traditionally presented based on the critical speeches of V.V. Stasov. It is obvious that without the comprehensive and gratuitous support of the Imperial Academy of Arts, Moscow school could not have grown to the level of a full-fledged art educational institution, which the Art Class became in the last quarter of the 19th–20th 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)0.002
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 score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.008
Scholarly communication0.0060.003
Open science0.0000.003
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 head0.217
GPT teacher head0.409
Teacher spread0.193 · 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
Published2022
Admission routes1
Has abstractyes

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