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Record W2066987017 · doi:10.15330/jpnu.1.2-3.305-310

Native Language Education in Ukraine and the Ukrainian Diaspora: Comparative Analysis at the Turn of the Century

2014· article· en· W2066987017 on OpenAlexaboutno aff
Світлана Романюк

Bibliographic record

VenueJournal of Vasyl Stefanyk Precarpathian National University · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianNational languagePolitical scienceResidenceNational consciousnessDiasporaEthnic groupLanguage policyFirst languageState (computer science)GlobalizationEconomic growthSociologyPedagogyGender studiesLinguisticsDemography

Abstract

fetched live from OpenAlex

The trends of development of native language education of Ukrainians living in Ukraine,the USA and Canada have been analyzed. They are stipulated by globalization as well asintegration processes on a global scale in the end of the 20th and at the beginning of the 21stcenturies. Their dependence on state language and language education policies in Ukraine havebeen grounded together with national consciousness of the Ukrainians whereas the westerndiaspora dependence on external (language policy in the country of residence, assimilation,assistance from Ukrainian part) and internal factors (national consciousness of Ukrainians in thediaspora, their integration into different society, functioning of native language education, publicorganizations) have also been reasoned.The functioning of institutions in the USA and Canada have been studied (parents/family –kindergartens – Ukrainian Studies Schools and Courses at Universities). Where the subjects inUkrainian Language and Systems of State Educational Institutions for young generations of theAmerican and Canadian Ukrainians are being taught.The following key trends of native language education have been distinguished: bilingualism(Russian-Ukrainian languages in Ukraine which, in general, has a negative impact on the status ofnational language. English-Ukrainian languages in the USA and Canada which is an essential partof the integration of national minorities representatives into the societies of these countries);reduction of Ukrainian language speakers in the USA and Canada as well as in Ukraine; stateassistance in language teaching for ethnic communities/minorities in Ukraine and separateCanadian provinces; seeking for efficient means and methods of teaching native language inpolytechnic / multilingual environments such as mountainous regions of the USA, Canada andUkraine.The conclusion is that despite of assimilation and migration processes in the diaspora andUkraine, the need of Ukrainian language learning is growing. This is particularly connected withthe fourth emigration wave of Ukrainians who are willing to study their own language and obtainappropriate 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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.224
Teacher spread0.213 · 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 designQualitative
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

Citations1
Published2014
Admission routes1
Has abstractyes

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