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Record W2343792107 · doi:10.14288/1.0105609

Trends in the repertoire of the Moscow Art Theater from 1917-1941

2011· article· en· W2343792107 on OpenAlexaff
Richard Arnold Weeks

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicArts, Culture, and Music Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRepertoireVisual artsHistoryArtLiterature

Abstract

fetched live from OpenAlex

When the Moscow Art Theater appeared in New York in 1924, it was the apostle of a new dramatic naturalism bent on depicting man's inner torment through an intense psychological probing. Some forty years later, one of the world's greatest art theaters occupies only an insignificant position in the world of art. Why is this so? It is the purpose of this dissertation to answer this question by a careful analysis of the trends in the repertoire of the Moscow Art Theater. An analysis of the repertoire reveals several major trends in the Theater's repertoire after the Revolution of 1917. These trends are revealed through performances in the following areas: (a) Russian classical plays; (b) Adaptations of Russian classical novels; (c) Translations of West European classical plays; (d) Mikhail Bulgakov and his controversial plays; (e) Modern Soviet drama. An analysis of carefully selected plays from each trend reveals how the Moscow Art Theater was systematically sapped of all its inner vitality and enslaved to a regime. The resultant loss of creative endeavour and the Theater's reliance on the Russian classics in the years following World War II confirms the indivisibility of art and freedom. Some of the Moscow Art Theater's trends were established before the Revolution of 1917. This dissertation therefore, begins by tracing the Theater's repertorial trends since the first performance in 1898.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.749
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.201
Teacher spread0.175 · 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.

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
Published2011
Admission routes1
Has abstractyes

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