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Emigrant Songs of Ukrainians in the Context of Scientific Research of Robert Klymasz (Canada)

2024· article· en· W4398329951 on OpenAlexaboutno aff
Nataliia Fedorniak

Bibliographic record

VenueBulletin of Kyiv National University of Culture and Arts Series in Musical Art · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Educational Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)HistorySociologyAnthropologyArchaeology

Abstract

fetched live from OpenAlex

The purpose of the research is to analyse the genre and thematic, musical component and peculiarities of the transformation of emigrant songs from the collections of folk songs Introduction to the Ukrainian-Canadian Immigrant Folklore Cycle and Ukrainian Folk Songs from the Prairies by R. Klimasz (Canada). The research methodology is based on the principles of objectivity, systematicity and historicism, which is supported by the historical and cultural approach. The musicological, textual, stylistic, and contextual analyses are applied, which reveal the musical, literary, historical and cultural dimensions of the evolution of emigrant songs, and also allow us to identify the transformation of emigrant songs in new socio-cultural conditions. The scientific novelty of the research lies in the introduction into scientific circulation of the collections of sheet music of the Canadian-Ukrainian folklorist R. Klymasz, which contain samples of emigrant songs of Ukrainians in Canada as authentic musical folklore of Ukrainian immigrants in the context of studying the transformation of the musical folklore tradition of Ukrainians in the North American diaspora. Conclusions. The emigrant songs collected and published by R. Klymash, created among overseas emigrants, are part of the cultural heritage of the Ukrainian diaspora in North America, which consists of epic stories, song lyrics, and humorous and satirical dance songs. The folk song materials clearly demonstrate the current themes, melodic, rhythmic and harmonic aspects of the musical component, and the contexts of performance. The musical and poetic style of the songs expresses the peculiarities of the music of the western region of Ukraine with its respective linguistic dialects. Examples of emigrant folklore reflect the diachronic development of the song culture of Ukrainians in the diaspora from the creation of emigrant songs as authentic examples of immigrant folklore with gradual modification to complete assimilation into another cultural environment, which is expressed in the change of content of the works, the use of macaronic elements in the texts, and later – melodic borrowings.

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)0.003
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 score0.141
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0120.005
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.314
Teacher spread0.275 · 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
Published2024
Admission routes1
Has abstractyes

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