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Record W2791361172 · doi:10.5817/cejcs2002-2-4

Representations of language and identity : focus on Canadian English lexis

2002· article· en· W2791361172 on OpenAlexaboutno aff
Rodica Albu

Bibliographic record

VenueThe Central European journal of Canadian studies · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsFocus (optics)LexisIdentity (music)SociologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

This article continues the "Representations of Language and Identity among English-speaking Canadians" series of studies based on the data provided by the sociolinguistic sample survey of the same name. Initiated by the author in the year 2000, it illustrates the linguistic habits of English-speaking inhabitants of urban Ontario as well as their subjective evaluation of these habits. Whereas the first article evidenced a lack of concordance between Canadians' spelling choices (51% American - according to the collected data) and what they think their spelling is like (namely, 55% British), this article brings forth a more realistic perspective of the population with regard to vocabulary. Just as the initial hypotheses had foreseen, Canadians' lexical choices are divided between (1) the British lexical item; (2) the North American lexical item (US and Canada); and (3) the typically Canadian lexical item. Apartfrom that (4), New Canadians tend to preserve, at least for some time after their arrival, culture-specific elements that influence their lexical choices. However, their subjective self-reflexive statements reveal the sense of belonging to a common North American culture, followed by an increasing sense ofnational identity.

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)0.002
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: none
Teacher disagreement score0.610
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0000.000

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 head0.052
GPT teacher head0.311
Teacher spread0.259 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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