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Record W2891037785 · doi:10.1080/13670050.2018.1508277

Western and heritage cultural internalizations predict EFL students’ language motivation and confidence

2018· article· en· W2891037785 on OpenAlexafffund
Nigel Mantou Lou, Kimberly A. Noels

Bibliographic record

VenueInternational Journal of Bilingual Education and Bilingualism · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHeritage languagePsychologyCultural heritageWestern cultureEnglish as a foreign languageForeign languageLanguage acquisitionTarget culturePedagogySociologyMathematics educationHistory

Abstract

fetched live from OpenAlex

Internalizing Western culture can facilitate English-as-a-foreign-language (EFL) learners’ motivation to learn and confidence to use English. However, the role of heritage cultural internalization and the interactive impact of Western and heritage cultural internalizations on English learning are unclear. We surveyed 172 EFL students from Macao and found that those who internalized Western culture to a greater extent indeed held more a positive view towards English learning and were more autonomous learners, which in turn predicted their confidence in using English. However, for those who internalized Western culture to a lesser extent, internalizing Chinese culture was also linked to positive attitudes and English use confidence. These findings suggest that a strong heritage cultural orientation is also important for EFL learners’ English language development, especially among those do not embrace Western culture. This research suggests that language researchers and teachers should pay attention to learners’ orientations towards not only the target culture but also their heritage culture.

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 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)0.001
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 score0.168
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.029
GPT teacher head0.363
Teacher spread0.333 · 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 teacher head, 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

Citations29
Published2018
Admission routes2
Has abstractyes

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