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Record W1521252622 · doi:10.1017/cbo9780511781056.004

The principal features of Canadian English in comparative perspective

2010· book-chapter· en· W1521252622 on OpenAlexaboutno aff

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Principal (computer security)LinguisticsGeographySociologyHistoryComputer scienceArtificial intelligencePhilosophyComputer security

Abstract

fetched live from OpenAlex

Few people would question the assertion that there are now two widely recognized standard varieties of English in the world: British and American (Trudgill and Hannah 1985: 1–3). This duality arose from the political separation of the United States from Britain in the eighteenth century, together with the barrier to communication presented by the Atlantic Ocean, in an age before jet travel, satellite beams and the internet. Over four centuries, these factors have produced a substantial set of differences between the types of English spoken in Britain and America, aside from the variation found within each of them. Some of these national differences are older forms preserved in American English that have been altered or abandoned in later stages of British English; others are innovations in American English that never spread to Britain. Whatever their origin, these differences led Noah Webster to publish an American Dictionary of the English Language as early as 1812 and John Russell Bartlett to produce a Dictionary of Americanisms in 1849. In 1919, H. L. Mencken published the first edition of his encyclopedic study of American English, which he significantly called The American Language , emphasizing its distinctness from the “language” of Britain. In 1944, John S. Kenyon and Thomas A. Knott put forth a Pronouncing Dictionary of American English , which became the standard account of American English pronunciation. Together, these works and others acknowledge that British and American English are different enough to justify separate lexicographic traditions and different standards of usage.

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)0.003
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.105
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.014
Science and technology studies0.0220.014
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.030
GPT teacher head0.203
Teacher spread0.174 · 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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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