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Record W1660690229 · doi:10.20355/c5b59j

Content-Based English Education in China: Students’ Experiences and Perspectives

2012· article· en· W1660690229 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChinaSubject matterPsychologyContent (measure theory)PreferencePerceptionEmpirical researchMathematics educationContent analysisCollege EnglishSubject (documents)PedagogySociologyPolitical scienceSocial scienceComputer scienceLibrary sciencePhilosophy

Abstract

fetched live from OpenAlex

This study explores undergraduate students’ experiences and perceptions of the content-based EFL instruction at a northwestern Chinese university. It is one of the first empirical studies of content-based EFL in China. Through a three-part open-ended questionnaire administered with 34 undergraduate students majoring in finance, the study reveals overwhelming support for this approach to EFL. Participants believed that learning English and content knowledge simultaneously was helpful and that the spread of English in China can benefit the nation and its people. The findings also indicate that some participants were critical of the approach, stating that it is “shallow content teaching” and suggesting that subject matter content be taught in Chinese. The participants praised their original English texts and expressed their preference for student-centered learning.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.184
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.037
GPT teacher head0.319
Teacher spread0.282 · 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