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Record W2969788753 · doi:10.7202/1060122ar

Dialogues of Cultures

2019· article· en· W2969788753 on OpenAlexaffvenue
Adalyat Issiyeva

Bibliographic record

VenueRevue musicale OICRM · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsOrientalismOrientRussian literatureRussian cultureHistoryLiteratureMusicalPeriod (music)AppealModernism (music)ArtArt historyAestheticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The influence of the Saisons Russes, with its utterly Orientalist appeal in defining French modernism and Western avant-garde culture in general, is widely known and discussed by many researchers from multiple perspectives (Schaeffner 1953, Garafola 1989, Davis 2010, Bellow 2013). Less emphasised to date is the fact that Russian Orientalism emerged from European stimuli and, in many respects, its very existence is indebted to French Orientalism. As the famous Russian Orientalist Vasily Bartol’d complained, “The Orient’s neighbour, Russia, despite its geographical proximity, often preferred reading shoddy Western books on the Orient to a direct study of the Orient” (Bartol’d 1925, p. 295). 1 This occurred as a result of the nineteenth-century travels of many Russian literary men, painters, and linguists to Europe (notably to France and Germany) to study with famous Orientalists. This paper contextualizes French Orientalism within nineteenth-century Russian culture and considers how French musical Orientalism was negotiated in Russian writings from the period. Despite the critical views of Russian musicians toward French music with oriental subjects, the music nevertheless resonated with Russian compositional practices and some of its devices were used occasionally to depict not only the Orient, but Russia itself.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.986

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.001

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 head0.031
GPT teacher head0.215
Teacher spread0.184 · 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.

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

Citations1
Published2019
Admission routes2
Has abstractyes

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