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PHENOMENON OF THE UKRAINIAN SOKIL MOVEMENT IN EMIGRATION

2017· article· en· W2774904591 on OpenAlexaboutno aff
Олексій Лях-Породько, Bohdan Miroshnichenko

Bibliographic record

VenuePhysical education sport and health culture in modern society · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Training Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianEmigrationPolitical scienceMovement (music)Physical cultureIdeologySociologyPoliticsLaw

Abstract

fetched live from OpenAlex

Thematic justification. The Ukrainian Sokil movement in the emigration has become one of the unifying factors of Ukrainian people. Ideology, conservation of traditions, language and culture, high level of organizational-educational, physical culture and sports activities has become the key to recognition of The Ukrainian Sokil movement by the international community abroad. The aim of the work is to carry out the historical and theoretical analysis of the emerging conditions of the Ukrainian Sokil movement abroad and to identify the features of its activity. Research methods: analysis of scientific and methodological literature, historical-logical and chronological methods. Research results. Ukrainian diaspora has made a great contribution to the establishment of Sokil movement in the emigration. Czechoslovakia, the USA, Canada, Argentina, Brazil, Germany, France, Switzerland, etc. were significant centres of the development of Ukrainian community abroad. The activity of the Sokil movement was characterized by national patriotic education, conservation of Ukrainian traditions and culture, public sporting and educational events. Conclusions. The activity of the Ukrainian Sokil movement abroad was a vivid expression of the cooperation of Ukrainians in the emigration, their unification around the idea of state-creation and the upbringing of a patriotic conscious nation in close connection with the gymnastic-sports movement and international geopolitical processes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.672

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.090
GPT teacher head0.496
Teacher spread0.406 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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