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Record W2118561861 · doi:10.5539/elt.v1n2p143

China English and ELT for English Majors

2008· article· en· W2118561861 on OpenAlexvenueno aff
Mingjuan Zhang

Bibliographic record

VenueEnglish Language Teaching · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsWorld EnglishesVariety (cybernetics)ChinaEnglish studiesPluralEnglish as a lingua francaVarieties of EnglishStandard EnglishLingua francaTest of English as a Foreign LanguageEnglish languageLinguisticsAmerican EnglishSociologyPsychologyMathematics educationPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This paper is a general study of one of varieties of English—China English and its influence on English Language Teaching (ELT) for English majors. The status of English as an International language breaks the situation in which British English or American English is the sole standard. English becomes World Englishes, taking on a plural form, which include many varieties of English with nativized cultural, political and economical characteristics. Researchers in China believe that China English as a variety of English has been objectively in existence and become a lingua franca. It consolidates the cultural identity of the Chinese speakers of English, enriches the multiple identities of English and plays an important role in promoting Chinese culture internationally. For teachers of English majors, it presents challenges to their traditional view of language teaching.

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)0.003
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 score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.384
Teacher spread0.356 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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