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The bassoon as a monument of musical culture: source studies

2022· article· en· W4399538806 on OpenAlexaboutno aff
Dmytro Kepin

Bibliographic record

VenueВісник Книжкової палати · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalArtVisual artsHistory

Abstract

fetched live from OpenAlex

The article for the first time in Ukrainian historiography, museology and monumentology considers works of European fine art, where there is an image of a wind wooden musical instrument bassoon. Works of painting, graphics, works of monumental art (sculpture) are analyzed. This is a characteristic of the collections of bassoons in museums in Western Europe, the USA and Canada. Publications stored in the funds of the Vernadsky National Library of Ukraine, Yaroslav Mudryi National Library Of Ukraine, the National Historical Library of Ukraine, the National Scientific and Research Restoration Center of Ukraine were used. The expositions of the Bohdan and Varvara Khanenko National Museum of Arts (Kyiv), the Museum of Theatrical, Musical and Film Art of Ukraine (Kyiv), the State Yagotynsky Historical Museum (Yagotyn, Kyiv Region), as well as Internet resources of collections of wind instruments of a number of museums in Europe, the USA and Canada are analyzed. Materials from the personal archive and musical collection of the bassoonist, teacher in the class of wind musical instruments, soloist of orchestra V. Kepin (Kyiv) were involved. Based on the analysis, it was concluded that the Flemish artist Dеnis van Alsloot can be considered one of the first in European painting, which brought to our time the composition of wind musical instruments characteristic of the musical culture of Western Europe of the XVII century. In Ukraine, one of the oldest copies of the bassoon (1730s) is stored in the Museum of Theatrical, Musical and Film Art of Ukraine (Kyiv).

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 categoriesScience and technology studies, Insufficient 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 score0.608
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.133
GPT teacher head0.259
Teacher spread0.126 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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