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Record W2893797412 · doi:10.7202/1050986ar

Music as Text in the Works of Bulgakov

2018· article· en· W2893797412 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRecherches sémiotiques · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLiterature, Language, and Rhetoric Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExplicationTheme (computing)Focus (optics)Variety (cybernetics)Space (punctuation)LiteratureAestheticsLinguisticsEpistemologyArtPhilosophyComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The present article is a modest introduction to a larger theme that analyzes the use of music as text in the plays, short stories and novels of Mixail Bulgakov. The important contribution of Juri Lotman’s theoretical work on artistic space, the semiosphere, and the role of incorporating “texts within texts” (текст в тексте) is fundamental to our explication of the process of understanding Bulgakov’s use of music as text in a variety of its manifestations, resulting in an integrated and full-bodied textual structure that generates meanings critical to the works in which it is embedded. This analysis will focus on defining what “music as text” is for Bulgakov and specifically consider the use of music in the play, Zoya’s Apartment (Зойкина квартира).

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.533
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.120
GPT teacher head0.404
Teacher spread0.284 · 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