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Record W2768384421 · doi:10.1515/dialect-2017-0003

The role of dialect in mother tongue retention of Slovene Canadians: a case study

2017· article· en· W2768384421 on OpenAlexaboutno aff
Nada Šabec, Mihaela Koletnik

Bibliographic record

VenueDialectologia et Geolinguistica · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCode-switchingLexisLinguisticsImmigrationFirst languageLanguage contactIdentity (music)Variation (astronomy)Ethnic groupAffect (linguistics)Focus (optics)Code (set theory)HistorySociologyComputer scienceArtAnthropology

Abstract

fetched live from OpenAlex

Abstract This article addresses the issue of mother tongue retention in the Slovene Canadian community of Vancouver. A brief social and historical profile of the community is followed by a description of the general linguistic situation, based on the data collected through questionnaires and participant observation. The results show substantial intergenerational variation in terms of the immigrants’ language use and language attitudes and point in the direction of a relatively rapid shift from Slovene to English, but not to the weakening of their sense of ethnic identity. The focus then shifts to the linguistic aspects of Slovene-English language contact themselves. In addition to interference phenomena in the immigrants’ language such as borrowing from English and Slovene-English code switching, special attention is paid to the presence of dialect or standard features in their mother tongue. Lexis in particular is interesting as it shows traces of other languages. Next, we try to identify the most significant factors which affect the immigrants’ choice between Slovene and English in various contexts as well as their use of either dialect or standard in Slovene.

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)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.017
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 head0.065
GPT teacher head0.459
Teacher spread0.394 · 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 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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