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Record W4399762810 · doi:10.3138/md-67-2-1299

The “Miracle” of the Russian Revolution: The Mystery Play in Early Soviet Culture

2024· article· en· W4399762810 on OpenAlexvenueno aff
Alisa Ballard Lin

Bibliographic record

VenueModern Drama · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMiracleRussian cultureLiteratureHistoryAncient historyArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

Some of the very first theatre productions following the Russian Revolution of 1917 were built around Christian imagery and dramatic forms, a surprising choice given that atheism was a key tenet of the new Soviet nation. The first Soviet play, Vladimir Mayakovsky’s Mystery Bouffe, is modelled after the medieval mystery play and depicts workers coming to revolutionary consciousness after encountering a Christ-like figure. Subsequently, several of the earliest Soviet mass spectacles, a vibrant form of state-sponsored propaganda, also drew comparisons to mystery plays. This article examines the interdependence of theatricality and spirituality in these early Soviet mysteries (approx. 1918–21), referencing the context of church practice, the mystery play genre, and Russian symbolism’s earlier fascination with the mystery play. I argue that these Soviet variants on this medieval dramatic form struggle self-consciously with the ironies and the possibilities of borrowing from the mystery in the newly Soviet theatre. Their triumphant messages about socialism and the revolution are nuanced by the essentially religious nature of the genre even as they attempt to replace mystery with theatrical spectacle to create a new model of theatre. By revealing spiritual dimensions of socialist avant-garde aesthetics, these Soviet mysteries can enrich our understanding of both the place of religion in modernism and the consistency of modernist values.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.229
Teacher spread0.214 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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