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Record W2923149960 · doi:10.32370/ia_2019_01_12

Historical and Pedagogical Aspects of National Education of Youth: Folklore Studies of Ukrainian Song

2019· article· en· W2923149960 on OpenAlexvenueno aff
Oksana Komarovska, Оксана Крусь

Bibliographic record

VenueIntellectual Archive · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianNational identityFolkloreNational consciousnessPrideConsciousnessFolk musicIdentity (music)Nation-buildingSociologyPolitical scienceGender studiesPedagogyAestheticsPsychologyLiteratureAnthropologyArtMusicalLawLinguistics

Abstract

fetched live from OpenAlex

The article is devoted to the problem of national education of youth in Ukraine.The orientation of national education is the formation of national consciousness and national identity.The concept of national education has been defined as an integral personal quality that is dynamically enriched and its structure includes intercultural tolerance.Particularly, the formation personality's intercultural tolerance is associated with a vector of interest in Ukrainian art and Ukraine in general by foreign cultural representatives.It is a significant factor in awakening of youth's pride for own artistic achievements, self-esteem and national identity.The leading means of national education is Ukrainian folk art.The foreign studies on the Ukrainian folk song have been analyzed.A brief review of the works of outstanding foreign composers who used Ukrainian melody in their works (A.Dvozhak, L. Beethoven, F.List, B. Bartko) has been presented. Key words: national education

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.207
GPT teacher head0.416
Teacher spread0.208 · 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
GenreOther

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

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