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Record W4213017724 · doi:10.1080/13488678.2022.2033906

The role of English education in China’s shifting national identity

2022· article· en· W4213017724 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAsian Englishes · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNational identityChinaIdentity (music)ProsperityPolitical scienceForeign policyContext (archaeology)Foreign languageGeopoliticsLanguage policySociologyNegotiationGender studiesSocial sciencePedagogyHistoryLawPoliticsAesthetics

Abstract

fetched live from OpenAlex

ABSTRACTLanguage is a vital part of an individual’s cultural identity. Language education policy is also an important part of a country’s national identity construction. This qualitative historical study situates the discussion of China’s foreign language education in the broader socio-historical context of national identity negotiation. The Chinese history of English education over a span of two centuries is critically reviewed as a case study to show the dynamic relationship between national identity and foreign language policy. Foreign language policy has been used as a tool in China to construct a desired national identity in different historical and geopolitical contexts of nation development and international relations. The Chinese case also serves to show the correlation between an open liberal foreign language policy and the achievement of national prosperity.KEYWORDS: English educationChinanational identityforeign language policyhistory Disclosure statementNo potential conflict of interest was reported by the author.

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.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.636
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.382
Teacher spread0.367 · 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