MétaCan
Menu
Back to cohort
Record W4206618284 · doi:10.17223/18572685/65/13

The Spoken Language of Ukrainian and Rusin Diasporas: Consonant Orthoepy

2021· article· en· W4206618284 on OpenAlexaboutno aff
M. L. Druzhynets, T.Yu. Kovalevska, A.Р. Romanchenko

Bibliographic record

VenueRusin · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsPronunciationPrefixUkrainianLinguisticsSchwaConsonantDiasporaSpoken languageNorm (philosophy)HistorySociologyPolitical scienceVowelLawGender studies

Abstract

fetched live from OpenAlex

The article contains the synchronous analysis of the spoken language and in particular the pronunciation of the Ukrainian youth in America, Canada, Europe, the Transnistrian Moldavian Republic (most of whom are Rusins). The sociological survey has demonstrated the percentage of those who own the consontant orthoepy standard in a wide local and social representation abroad, determined the most common pronunciation problems and orthoepic deviations in the system of consonantism, identified their reasons, and proved the historical organicity of modern orthoepic norm. The research of the spoken language of the Ukrainian diaspora focuses on the sociophonetic aspects at the level of its sound presentations. The author aims at determining the level of mastery of the consonant orthoepy of the Ukrainian literary language by young people, representing different local and social spheres: orthoepy of voiced consonants at the end of the word and in front of the voiceless consonants; voiceless consonants before voiced ones; prefixes роз-, без-, об-, prefixes-prepositions з-, від-, між- before voiceless consonants, except for hushing sounds; [в] as [ў]; [д̑з], [д̑ж]. According to the generalized results of the survey, the pronunciation of voiced sounds at the end of the word, the voiceless sounds before the voiced ones, [г], prefixes роз-, без-, об-, з-, affricates [д̑з], [д̑ж] are defined as strong based on the percentage abroad. The norms of the pronunciation of the prefixes об-, між- are considered weak in the speech of the respondents; the greatest difficulties arise when pronouncing the sonorous з- in the word зцідити – 35 % possession of the norm (Transnistrian Moldavian Republic – 15 %, Europe – 43 %, America –30 %, Canada – 50 %). However, the pronunciation norms of the prefixes роз-, без-, з-, affricates [д̑з], [д̑ж] in foreign countries are strong, while the pronunciation norms of the prefixes об-, від-, між- are unstable. The norms of the pronunciation of phonemes in the middle of the word, [в] as [у᷃] are also weak. Typical deviations are related to the influence of Russian orthoepy or spelling. Differences in the percentage of the norm possession depend on the usage of the word and the complexity of sound changes, since in the process of assimilation, the sound changes not only its acoustic but also articulatory characteristics – the place or method of formation. Thus, nowadays, the mistakes in the pronunciation of voiced consonants are due to lack of theoretical knowledge, influence of dialectal speech and the Russian language, since these orthoepic norms were fixed in writing and theoretically substantiated in the grammars of the early 20th century, as it can be seen in manuscripts. The pronunciation rules that are consistently reflected in the manuscripts are strong and followed by the informants.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.216
Teacher spread0.201 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRusinSame topicLinguistics, Language Diversity, and IdentityFrench-language works237,207