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Record W4223938541 · doi:10.5539/hes.v12n2p112

Linguistic Imperialism and Standard Language Ideology in an English Textbook Used in China

2022· article· en· W4223938541 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHigher Education Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologySociologyLinguisticsHegemonyStandard EnglishDominance (genetics)Embodied cognitionPoliticsEpistemologyPolitical science

Abstract

fetched live from OpenAlex

An increasing number of studies have demonstrated how language textbooks serve as an arena for ideological reproduction. Following the theory of language ideology, this paper aims to examine the ideological representation of English in a textbook targeting Chinese university students in China. Data were subjected to content analysis and critical discourse analysis regarding their reference to the embodied identity options, images, case studies, cultural notes, exercises, dialogues, and reading passages in the textbook. Findings reveals that by highlighting the dominant position of English and simplifying the multilingual landscape, the textbook tends to place English at the center of prominence. The dominance of English is further entrenched by expressions of the values of speaking Standard English. It is argued that the representation of speaking Standard English ideology can be understood as the global penetration of linguistic imperialism. Furthermore, the textbook also reproduces biased gender and class representation of social characters, which might exacerbate learners’ prejudice towards certain groups on the basis of their understandings of real-life power relations. It is hoped that the study can shed some lights on providing English language learners with a more diversified textbooks for cultivating their language awareness and intercultural competence.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.029
GPT teacher head0.323
Teacher spread0.294 · 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