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Record W3036272152 · doi:10.7202/1069476ar

Hector Berlioz et l’espace médiatique russe au xixe siècle

2020· article· fr· W3036272152 on OpenAlexvenueno aff
Anastasiia Syreishchikova-Horn

Bibliographic record

VenueRevue musicale OICRM · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Compositeur et critique musical, mais également chef d’orchestre célèbre, Hector Berlioz trouve son succès à l’étranger, et notamment en Russie, grâce à ses tournées de concerts. Cependant, son image en Russie impériale est construite non seulement à travers sa musique, mais aussi grâce à ses écrits journalistiques. Avant même que la musique de Berlioz ne soit jouée à Saint-Pétersbourg, le public russe fait connaissance avec le musicien français à travers la presse. À partir de 1833, les articles critiques de Berlioz sont régulièrement traduits et publiés dans les périodiques russes. La presse sert également de médiateur et de moyen d’échange d’informations entre Berlioz et la Russie : les articles de Berlioz sur les compositeurs russes (Glinka, Lvov) sont très vite traduits et diffusés par la presse pétersbourgeoise. Berlioz, lui-même critique professionnel, comprend l’importance de l’autopromotion dans les médias et met en place plusieurs stratégies médiatiques en vue de ses voyages en Russie.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.062
GPT teacher head0.324
Teacher spread0.263 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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