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Record W4225306982 · doi:10.3390/languages7020110

Greek-Canadian Koiné: The Emergence of a Koiné among Greek-Canadian Immigrants

2022· article· en· W4225306982 on OpenAlexaffabout
Panayiotis A. Pappas, Angela Ralli, Simeon Tsolakidis

Bibliographic record

VenueLanguages · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsImmigrationVariety (cybernetics)Modern GreekVariation (astronomy)LinguisticsHistoryNounSyllabic verseFocus (optics)SociolinguisticsClassicsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The present paper is a contribution to the study of a new Modern Greek variety that is spoken in Canada by first-generation immigrants who arrived in this country between 1945 and 1975. This variety displays features originating from: (a) A Common Modern Greek spoken in Greece around the middle of the 20th century, (b) mutually intelligible characteristics of the immigrants’ native dialectal varieties, mainly from the Peloponnese, (c) contact with English, (d) Standard Modern Greek. We present, discuss, and analyze data collected within the framework of the project “ImmiGrec: Stories of Greek immigration in Canada.” We focus on linguistic elements that could be considered indicative features of a Greek-Canadian Koiné, more particularly by investigating the borrowing and integration of English nouns and the variation in the use of the unstressed syllabic augment /e-/ and two different imperfective past suffixes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0100.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.282
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2022
Admission routes2
Has abstractyes

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