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Record W7043552309

Symphonic Creative Activity of Rufat Ramazanov

2021· article· uk· W7043552309 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2021
Typearticle
Languageuk
FieldMedicine
TopicEmergency Medicine Education and Research
Canadian institutionsnot available
Fundersnot available
KeywordsSymphonySubject (documents)Period (music)Point (geometry)Phenomenon
DOInot available

Abstract

fetched live from OpenAlex

The article analyzes several works related to the symphonic work of Rufat Ramazanov, a middle-aged representative of the modern Azerbaijani school of composition. The article also examines Ramazanov’s symphonic works against the background of the development of Azerbaijani music culture and examines his symphonic works in terms of genre diversity. Also, the article considers the characteristics of music and harmonic language in the symphonic works of the composer, the methods of using orchestration. The article emphasizes the unique stylistic features of Rufat Ramazanov’s symphonic works, their connection with folk art, and his tendency to modernize within the traditions. The purpose of the research is to analyze certain symphonic works of Rufat Ramazanov and to study the individual stylistic features of the composer. The main touches are the emergence of the characteristic features of the composer’s symphonic work and the discovery of its connection with modern Azerbaijani music culture. The basis of the research is the involvement in detailed scientific research of several valuable symphonic works of R. Ramazanov, a worthy representative of the modern generation of Azerbaijani composers, which have not been subjected to scientific and theoretical analysis. From this point of view, the research is based on the method of complex theoretical analysis. The research methodology is based on music-analytical, theoretical, and historical analysis. It was noted that the composer’s work has undergone stylistic changes in the process of development, and modern technical methods have uniquely manifested themselves. At the same time, based on the scientific-theoretical principles and research of Azerbaijani and foreign musicologists, the article forms the methodological basis. The scientific novelty of the research is that for the first time as special research work, the article is devoted to the symphonic work of R. Ramazanov, a representative of the modern school of the composition of Azerbaijan, and the study of general creative features associated with it. The presented article for the first time scientifically analyzes the symphonic works of R. Ramazanov, which are important in his work but have not been studied so far. Conclusions. A comprehensive analysis of Ramazanov’s symphonic works in the presented article allows one to draw important conclusions about the features of the composer’s creative style. It was noted that the richness and deep content of the musical language of the bright and individual symphonic works created by Ramazanov, one of the modern Azerbaijani composers distinguished by his original creative style, in various years of his creative life are important in our national music art. It was noted that the composer’s insistence and seriousness towards himself are also felt like his works. From this point of view, Ramazanov’s symphonic music and modern writing techniques with rich images were chosen from his contemporaries and recognized in our music society and were welcomed not only in his homeland but also far beyond its borders. It should be noted that several of Ramazanov’s works have been successfully performed not only in his native Azerbaijan but also in Turkey, England, Norway, Israel, Canada, Georgia, and other countries. Ramazanov is currently experiencing a period of growth in his creativity, enriching our professional music art by creating new modern works.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.118
GPT teacher head0.416
Teacher spread0.298 · 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
Published2021
Admission routes1
Has abstractyes

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