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Record W4403899691 · doi:10.36962/duliic-2024-176

SPECIFIC FEATURES OF THE AMERICAN VERSION OF THE BRITISH LANGUAGE

2024· article· en· W4403899691 on OpenAlexaboutno aff
Fatima Hajizada Fatima Hajizada

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceNatural language processingArtificial intelligenceLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

English is one of the most spoken languages in the world. A global language communication is inherent in him. This language is also distinguished by a significant diversity of dialects and speech. It appeared in the early Middle Ages as the spoken language of the Anglo-Saxons. The formation of the British Empire and its expansion led to the widespread English language in Asia, Africa, North America and Australia. As a result, the Metropolitan language became the main communication language in the English colonies, and after independence it became State (USA, Canada, Australia, New Zealand) and official (India, Nigeria, Singapore). Being one of the 6 Official Languages of the UN, it is studied as a foreign language in educational institutions of many countries in the modern time [Arakin, 2003: 12-14]. Despite the dozens of varieties of English, the American (American English) version, which appeared on the territory of the United States, is one of the most widespread. More than 80 per cent of the population in this country knows the American version of the British language as its native language. Although the American version of the British language is not defined as the official language in the US Federal Constitution, it acts with features and standards reinforced in the lexical sphere, the media and the education system. The growing political and economic power of the United States after World War II also had a significant impact on the expansion of the American version of the British language [Chernov, 2001: 3]. Currently, this language version has become one of the main topics of scientific research in the field of linguistics, philology and other similar spheres. It should also be emphasized that the American version of the British language paved the way for the creation of thousands of words and expressions, took its place in 177 the general language of English and the world lexicon. “Okay”, “teenager”, “hitchhike”, “landslide” and other words can be shown in this row. The impact of differences in the life and life of colonists in the United States and Great Britain on this language was not significant either. The role of Nature, Climate, Environment and lifestyle should also be appreciated here.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.008
GPT teacher head0.208
Teacher spread0.200 · 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
Published2024
Admission routes1
Has abstractyes

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