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Record W1500880081

Power of Art and Enthusiasm for Inspiration: A Musical Analysis on Debussy’s Firework

2014· article· en· W1500880081 on OpenAlexvenueno aff
Li Mingchun

Bibliographic record

VenueCross-cultural communication · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPianoMusicalityHarmony (color)MusicalArtFireworksEnthusiasmAestheticsLiteratureVisual artsPsychologyHistoryArt history
DOInot available

Abstract

fetched live from OpenAlex

As the founder of impressionism, Claude Debussy endows his works with new musical language in aspects of melody, harmony, and texture, which functioned as a connection role between tonal and atonal music, and later influenced on the development of atonal music. His program music even exploited a new horizon for western music, and the  innovation in his works was gradually accepted by more and more musicians. In this paper, using a Prelude written for solo piano “Fireworks” as an example, the colorimetric principle was employed to examine how the musicality of the piano works of Debussy is achieved through the applying of impressionism. In addition, its musical form, harmony, texture and other musical features and performing skills were analyzed explicitly. Besides theoretical discussion, the author attempted to reproduce how the musicality of the piano works of Debussy is achieved through the applying the method of impressionism and illustrate Debussy’s innermost emotions in his Fireworks.

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)0.003
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.011
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.033
GPT teacher head0.302
Teacher spread0.268 · 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
Published2014
Admission routes1
Has abstractyes

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