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When your language is disappearing: Canadian Doukhobor Russian

2022· article· en· W4283391164 on OpenAlexaffabout
Veronika Makarova

Bibliographic record

VenueRussian language studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsLinguisticsRussian languageHeritage languageEthnic groupStandard languagePsychologySociologyHistoryAnthropology

Abstract

fetched live from OpenAlex

This article considers Russian language attitudes of Canadian Doukhobors, a religious and ethnic minority group of Russian origin who immigrated to Canada in 1899. The significance of the study is determined by a paucity of research devoted to this unique cultural and linguistic group as well as by an urgency of protocolling the language loss. In particular, language attitudes held by the Doukhobors have never been investigated before. The aim of the study is to describe the attitudes of the Doukhobor participants to their heritage language (Russian). The goals are to outline the remaining functions of the language in the community, and the perspectives for its maintenance. The materials include interviews with 40 speakers of Doukhobor Russian who are bilingual in English and Doukhobor Russian. The interviews were recorded in British Columbia and Saskatchewan (the historic settlements of the Doukhobors) between 2012 and 2018. The methods rooted in heritage language and sociolinguistic studies involve manual thematic coding of the interview transcripts and their discourse analysis. The results demonstrate that the speakers are emotionally connected to the Russian language, and that the language is important for Doukhobor prayer services, understanding of their beliefs expressed in Russian psalms, reading Russian literature, travelling to or studying in Russia, etc. At the same time some participants talk about their language as being inferior to Standard Russian, because of anti-dialectal reactions of Russian citizens that they came in contact with. Many Doukhobor participants are skeptical about the possibility of maintaining the Russian language in the group. The results are interpreted in the light of the authors Linguistic Equilibrium theory. In conclusion, the article outlines implications for the heritage language revitalization. The results can contribute to bi/multilingualism theory, heritage language and language loss studies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.082
GPT teacher head0.462
Teacher spread0.380 · 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.

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

Citations0
Published2022
Admission routes2
Has abstractyes

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