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Record W2005678078 · doi:10.3138/cmlr.59.3.369

Writing in Two Cultures: Chinese Professors Return from the West

2003· article· en· W2005678078 on OpenAlexvenueno aff
Ling Shi

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRhetorical questionIdentity (music)ChinaDigressionLinguisticsGlobalizationSociologyAcademic writingPedagogyPsychologyHistoryPolitical scienceArtPhilosophy

Abstract

fetched live from OpenAlex

Little is known about nonnative English language teachers who, after having been awarded an MA or PhD in the West, return to their home countries and write academic papers mainly in their first language. This study, based on interview data, reports on the writing and teaching experiences of nine Western-trained Chinese TESOL (Teaching English to Speakers of Other Languages) professionals in China. The findings show that the participants were all conscious of their biliterate/bicultural intellectual identity. Although some had different views about what counted as logic and digression in academic discourse, most of the participants were persistent in promoting a direct and linear English approach in their own writing as well as in their teaching of both English and Chinese writing. The study highlights the complexity of bilingual/bicultural intellectual identity and the contribution of Chinese TESOL scholars either toward or against an Anglo-centric globalization of rhetorical development.

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0130.006
Scholarly communication0.0090.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.279
Teacher spread0.259 · 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 designQualitative
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

Citations51
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicDiscourse Analysis in Language StudiesFrench-language works237,207