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Record W4381931162 · doi:10.1051/shsconf/202316803006

The Analysis of Influence and Cause of British English on American English and New Zealand English

2023· article· en· W4381931162 on OpenAlexaff
Lei Liao

Bibliographic record

VenueSHS Web of Conferences · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBritish EnglishEnglish-based creole languagesModern EnglishAmerican EnglishEarly Modern EnglishEnglish languageColonialismVarieties of EnglishEnglish studiesOld EnglishHistoryPopulationVocabularyAustralian EnglishLinguisticsPoliticsEnglish grammarMiddle EnglishGrammarPolitical scienceModern languageSociologyClassicsLanguage assessmentDemographyArchaeologyLaw

Abstract

fetched live from OpenAlex

English originated in Britain. Since the 17th century, with the colonial expansion of Britain, English has been brought to all parts of the world, forming many varieties of English such as British English, American English, Australian English and New Zealand English. As the population of the United States and its political and economic strength continue to increase, American English has greatly influenced other variants of English. This paper analyzes the influence of British English on various English variants in the fields of vocabulary pronunciations spellings and grammar, and at the same time explores British English influence on American English, New Zealand English, other regional variants and its effects on our learning of English.

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)0.007
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.239
Teacher spread0.219 · 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
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

Citations3
Published2023
Admission routes1
Has abstractyes

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