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Record W2282065603 · doi:10.4312/elope.8.1.31-49

Slovene-English Language Contact and Language Change

2011· article· en· W2282065603 on OpenAlexaboutno aff
Nada Šabec

Bibliographic record

VenueELOPE English Language Overseas Perspectives and Enquiries · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsLanguage contactLinguisticsContext (archaeology)Code-switchingLanguage changeFirst languageLanguage shiftImmigrationHistoryComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The paper focuses on Slovene - English language contact and the potential language change resulting from it. Both the immigrant context (the U.S. and Canada) and Slovenia, where direct and indirect language contact can be observed respectively, are examined from two perspectives: social on the one hand and linguistic on the other. In the case of Slovene Americans and Canadians the emphasis is on language maintenance and shift, and on the relationship between mother tongue preservation and ethnic awareness. The linguistic section examines different types of bilingual discourse (borrowing, code switching), showing how the Slovene inflectional system in particular is being increasingly generalized, simplified and reduced, and how Slovene word order is gradually beginning to resemble that of English. In the case of Slovenia we are witnessing an unprecedented surge in the influence of English on Slovene, especially in the media (both classic and electronic), advertising, science, and the language of the young. This influence will be discussed on a number of levels, such as lexical, syntactic and intercultural, and illustrated by relevant examples.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Empirical
Teacher disagreement score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.232
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.

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

Citations2
Published2011
Admission routes1
Has abstractyes

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