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Record W4386968197 · doi:10.26156/om.2023.15.3.009

Author’s Remarks in the Musical Text as Demonstration of Director’s Will of the Composer

2023· article· ru· W4386968197 on OpenAlexaff
Н.И. Дегтярева

Bibliographic record

VenueOPERA MUSICOLOGICA · 2023
Typearticle
Languageru
FieldSocial Sciences
TopicCentral Asia Education and Culture
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsOperaMusicalObject (grammar)Action (physics)DramaturgyArtGermanVisionFluteLiteraturePsychologyVisual artsPhilosophyArt historyLinguisticsTheologyPhysics

Abstract

fetched live from OpenAlex

Статья посвящена проблеме ремарок, вписанных композитором в оперную партитуру и конкретизирующих предметный мир оперы: жесты, движение, мимику персонажей, характер произнесения той или иной реплики и т. д. Объектом рассмотрения в статье служат австрийские и немецкие оперы начала XX в., либретто которых либо принадлежит самому композитору («Отмеченные» Ф. Шрекера), либо является авторской (композиторской) переработкой текста оригинальной драматической пьесы («Саломея» Р. Штрауса, «Флорентийская трагедия» А. Цемлинского, «Воццек» А. Берга). Ремарки в операх, включая и те, что относятся к внешнему, изобразительному ряду действия, представляют особый слой целостного оперного текста, внутренне связанный с авторской концепцией и непосредственно отражающий режиссерские намерения композитора. Показано, как ремарки разного типа («психологической подсказки», «эмоционального тона», бытовые, визуальные) корреспондируют с музыкальным решением и акцентируют ключевые моменты в поведении и психологической характеристике героев. Особое внимание уделено ремаркам, отсутствующим в драмах О. Уайльда и Г. Бюхне ра и внесенным в текст композитором (оперы Р. Штрауса, А. Цемлинского, А. Берга). В анализе соотношений внешнего и внутреннего планов действия, связи ремарок с музыкальной драматургией автор статьи опирается на положения Е. А. Ручьевской, выдвинутые в исследовании «„Хованщина“» Мусоргского как художественный феномен». The article is devoted to the problem of remarks inscribed by the composer into the opera score and concretizing the object world of the opera, gestures, movement, facial expressions of the characters, the nature of pronouncing this or that replica, etc. The object of consideration in the article are Austrian and German operas of the beginning of the 20th century, the libretto of which either belongs to the composer himself (Die Gezeichneten by F. Schreker), or is the author’s (composer’s) reworking of the text of the original dramatic play (Salome by R. Strauss, A. Zemlinsky’s Eine florentinische Tragödie, Wozzeck by A. Berg). The Remarks in these operas, including those related to the external pictorial range of the action, represent a special layer of an integral operatic text, internally connected with the author's concept and directly reflecting the director's intentions of the composer. It is shown how remarks of different levels (“psychological hint”, “emotional tone”, everyday, visual) correlate with the musical solution and accentuate the key points in the behavior and psychological characteristics of the characters. Particular attention is paid to the remarks that do not appear in the dramas of O. Wilde and G. Büchner and are included in the text by the composer (operas by R. Strauss, Zem linsky, Berg). When analyzing the correlation of external and internal plans of action, the connection of remarks with musical dramaturgy, the author of the article relies on the pro visions of E. A. Ruchyevskaya, which are put forward in the research «"Khovanshchina" by Mussorgsky as an artistic phenomenon».

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0050.004
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0140.006

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 head0.037
GPT teacher head0.324
Teacher spread0.287 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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