MétaCan
Menu
Back to cohort
Record W2947685955

Из истории рецепции классического балета в Японии в первой половине XX века

2019· article· ru· W2947685955 on OpenAlexaboutno aff
Nadezhda Serdi︠u︡k

Bibliographic record

VenueВестник Академии русского балета им. А. Я. Вагановой · 2019
Typearticle
Languageru
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsBalletDanceParallelsArtQuarter (Canadian coin)Visual artsArt historyHistoryEngineering
DOInot available

Abstract

fetched live from OpenAlex

Today the Japanese are known as subtle connoisseurs of European ballet, nevertheless, their interest in Western classical dance started only about a century ago. The article discusses the perception of the activity of Italian choreographer Giovanni Vittorio Rosi in Tokyo in the 1910s, as well as the opinion of the Japanese public of the first Russian ballet tour. Whereas the first visit of Russian artists to Japan in 1916, primarily of a diplomatic nature, went almost unnoticed, the 1922 tour of the famous Russian ballerina Anna Pavlova radically changed the situation: both the public and professional Japanese artists discovered a whole new world of Western dance. The author suggests that a change in the perception of classical dance in the first quarter of the 20th century is associated with the gradual penetration of ballet into everyday visual images — advertising and printed materials. The article for the first time presents the parallels between the posters of the Mitsukoshi department store, created by the Japanese artist Hisui Sugiura, and the ballet posters and photographs of Anna Pavlova.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.007

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 head0.018
GPT teacher head0.285
Teacher spread0.267 · 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 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueВестник Академии русского балета им. А. Я. ВагановойSame topicDiversity and Impact of DanceFrench-language works237,207