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Record W3116744307 · doi:10.32447/2663-340x-2020-8.11

UKRAINIAN RESPONDENTS SOCIOPHONETIC SPEECH DESCRIPTION ABROAD UKRAINE: VOCAL ORPHOEPY

2020· article· en· W3116744307 on OpenAlexaboutno aff
M. L. Druzhynets

Bibliographic record

VenueLviv Philological Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianPronunciationLinguisticsPossession (linguistics)SerbianNorm (philosophy)DiasporaPsychologySociologyPolitical scienceLawGender studies

Abstract

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The article is devoted to the Ukrainian diaspora (America, Canada, Europe (Italy, the Czech Republic, Poland, Germany, Moldova), the Transnistrian Moldavian Republic) youth oral speech at the synchronous level, in particular the Ukrainian language pronunciation features. The normativity and historical organic are proved on the poll basis; pronunciation problems and orthoepic deviations are indicated; the vowels mastery orthoepy percentage in a wide local and social representation abroad is determined. The investigation object is the diaspora Ukrainians’ oral speech. The research subject is the orthoepic modern Ukrainian language mastery norms, the vowels orthoepy (initial stressed [i], unstressed [е], [и], [о]) in particular. Аnalysis and synthesis used in the study are as follows induction; deduction; observation; taxonomy (for the orthoepy phenomena classification, in particular words representing the sounds orthoepy); quantitative analysis (to determine the frequency of sticking to standards of orthoepy and the orthoepy standards possession percentage); descriptive method (for a pronunciation norms functioning generalized description in diachrony and synchrony). Special linguistic methods including comparative and historical (to compare orthoepy features in synchrony (modern living pronunciation) and diachrony (reflection in written memos; to study the each demanding norm historical roots)); comparative (to identify the different countries orthoepic picture specifics); linguistic geography method (to determine the orthoepy phenomenon spatial functioning). Thus, the vowels pronunciation norms belong to the weak norms abroad - less than 50% of respondents follow them: pronunciation of unstressed [и] is owned by 45% of respondents, [e] – 41%, [o] - 27%, stressed initial [i] – only 9 %. The mastery vowels orthoepy rate is 27%. The highest possession percentage norm abroad is seen when pronouncing such words as [vеде́лка], [vеиде́лка] (58 %), [vеисна́] (51 %), [vе́ршниек] (50 %). Informants demonstrated the worst norms mastery when pronouncing [пиеру́ка], [пиру́ка] (27 %), [зузу́лʹа] (27 %), [пр ̊оумʼін':а] (19 %), [усʹмʼіха́ јеіцʹ:а] (12%), [і́ин̊ одʹі], [и́н̊одʹ і], [и́ін̊ одʹ і] (9 %). There are deviations due to spelling influence and theoretical knowledge lack when pronouncing unstressed vowels [e], [и], [o] and the initial stressed vowel [i] in specifically suggested words or only the theoretical basis lack. The main reason for the literary vowels pronunciation violations is related to the these norms presentation lack in the school textbooks studied by the respondents.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.083
GPT teacher head0.262
Teacher spread0.179 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

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