MétaCan
Menu
Back to cohort

NATIONAL AND CULTURAL PECULIARITIES OF PHONETICS IN THE AMERICAN ENGLISH

2020· article· en· W3096139669 on OpenAlexaboutno aff
Iryna Nickolayeva

Bibliographic record

VenueNaukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ» Serìâ «Fìlologìâ» · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsAmerican EnglishPhoneticsPoint (geometry)JurisdictionHistorySociologyPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The article shows the establishment of the territorial norms on the level of phonetics in the American English. It analyses their national and cultural peculiarities. The studied and presented material shows that the phonetic characteristics of the American national version of the English language have their own territorial national and cultural characteristics. The article deals with the issue of phonetic peculiarities of the dialectic language as an ideal of the signs of the territorial jurisdiction of native speakers in terms of interpersonal communication. The main causes of regional dialects are analyzed. Separately, it is noted that the phonetic characteristics of the American national version of English in the South-West of the United States have their own regional identity. It is underlined that distinctive phonetic features of the English language in the United States include not only dialect phenomena, but they are also characteristic of the literary language. The assessment of the same linguistic facts from the point of view of American and British norms is indicative in this respect. In this article, it is discussed in detail the phonetic features of American English compared to British, officially recognized in the world community the main. The American version is of the greatest interest in comparison with Canadian, Australian and New Zealand English, because, for various reasons, it has undergone a large number of changes in all aspects of the language, including phonetic. The article emphasizes that the United States is developing its own territorial phonetic norms.

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)0.002
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.239
Teacher spread0.204 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNaukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ» Serìâ «Fìlologìâ»Same topicLinguistics, Language Diversity, and IdentityFrench-language works237,207