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Record W3024394181 · doi:10.1017/9781108596862.001

What is Canadian English?

2019· book-chapter· en· W3024394181 on OpenAlexaffabout
Stefan Dollinger

Bibliographic record

VenueCambridge University Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsViewpointsVariety (cybernetics)LinguisticsDialectologySociolinguisticsWorld EnglishesEnglish-based creole languagesImmigrationHistoryLanguage contactVarieties of EnglishEnglish languageAmerican EnglishLanguage educationModern languageArtComputer sciencePhilosophyVisual arts

Abstract

fetched live from OpenAlex

This chapter is an introduction to language and linguistic concepts from the viewpoints of North America. It sets the historical stage for the development of Canadian English from about 1900 to the present. Couched in the ascension of English as the predominant world language, the chapter sketches the influences on Canadian English via immigration and language and dialect contact throughout history. It introduces the six protagonists of the book, the "Big Six", who, shortly after World War II, embarked on a campaign to define, codify, and create the notion of Canadian English as a variety on a par with American and British English. Special emphasis is given to changing linguistic attitudes towards the English used in Canada, from the 1850s to the present. Basic concepts from the fields of dialectology, sociolinguistics, historical linguistics, and World Englishes are explained and illustrated for the non-specialist reader.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.053
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0160.006
Scholarly communication0.0090.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.003

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 head0.025
GPT teacher head0.227
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2019
Admission routes2
Has abstractyes

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Same venueCambridge University Press eBooksSame topicLinguistic Variation and MorphologyFrench-language works237,207