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Record W4308591079 · doi:10.5539/ijel.v13n1p21

American English and Its Influence on British English

2022· article· en· W4308591079 on OpenAlexvenueno aff
Sevinj Mammadzada

Bibliographic record

VenueInternational Journal of English Linguistics · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsAmerican EnglishLinguisticsVocabularyField (mathematics)English languagePronunciationVarieties of EnglishForeign languageSociologyHistoryMathematics

Abstract

fetched live from OpenAlex

This article deals with the regional variants of English language and describes in detail the currently relevant reasons for the appearance of language dialects and their existence in modern English. The main theoretical basis of this research proves that one person’s individual speech is the result of mixing the regional varieties and their features. The research analyses foreign linguistical discussions about American variant of English and its influence on British English within different aspects. Various materials of scientific discussions, different authors’ ideas and various comments of Internet users are in the list of materials that were used in this article. Based on dynamic and temporal characteristics of a speech, the article highlights the key features of British and American English and their territorial varieties. It also examines the influence of American English on other regional variants on the pronunciation and grammatical norms. The main object of the study is English language with its regional varieties. Analysis shows that the language reflection stands for significant component of national and cultural self-knowledge of English people. The article expresses the influence of American English on British English: firstly, on everyday vocabulary, phrases and expressions. Secondly, in the case of the functional varieties, the American influence is present in the field of journalism, broadcasting (cinema, television, music and so on.), politics, travelling, economics and so on.

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)0.356
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.356
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.236
Teacher spread0.223 · 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
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

Citations1
Published2022
Admission routes1
Has abstractyes

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Same venueInternational Journal of English LinguisticsSame topicLinguistics, Language Diversity, and IdentityFrench-language works237,207