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Record W2501350302 · doi:10.1017/cbo9780511781056.002

English in the Canadian context

2010· book-chapter· en· W2501350302 on OpenAlexaffabout
Charles Boberg

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsMcGill University
Fundersnot available
KeywordsContext (archaeology)HistoryArchaeology

Abstract

fetched live from OpenAlex

One of the most notable demolinguistic phenomena of the modern age has been the expansion of the English language, from its roots as a set of West Germanic dialects in early medieval England to its current position as the leading global lingua franca. It now has hundreds of millions of native speakers and an even larger population of non-native speakers, living in every region of the world. This expansion has involved three major phases: the anglicization of Britain's Celtic population; the transfer of English to other continents through emigration from Britain and colonialism; and the adoption of English as an international language by people in non-English-speaking countries beyond the former British Empire (the three diasporas of Kachru, Kachru and Nelson 2006, originally conceived by Kachru 1985). Part of the middle phase of expansion, beginning in the seventeenth century, was the bringing of English to North America by British colonists. These were as much Irish and Scottish as they were English, thereby reflecting the initial phase of expansion. The eventual success of their colonial project drew many more settlers, first from Britain and Europe and then from all over the world. If they did not already speak English, most of these settlers adopted it and most of their children became native speakers, so that English was established as the majority language of two new multi-ethnic nations, the United States and Canada. This book is a study of the English language in Canada: its current status, history and most important characteristics.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.178
Teacher spread0.151 · 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 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 routes2
Has abstractyes

Explore more

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