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Record W2999774776 · doi:10.1177/0023830919900372

Exploring Japanese EFL Learners’ Attitudes Toward English Pronunciation and its Relationship to Perceived Accentedness

2020· article· en· W2999774776 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLanguage and Speech · 2020
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsConcordia University
FundersCanada Research Chairs
KeywordsPronunciationPsychologyLinguisticsExploratory research

Abstract

fetched live from OpenAlex

This study investigates what individual differences may play a role in second language (L2) learners’ pronunciation, exploring whether English as a Foreign Language (EFL) learners’ attitudes toward English is linked to their perceived accentedness. Japanese EFL secondary school students ( N = 62) carried out a 69-word read-aloud task and their speech samples were evaluated by 16 raters for accentedness. A ten-item questionnaire examined the attitudes toward L2 pronunciation of Japanese EFL learners. From the questionnaire, an exploratory factor analysis revealed three dimensions: pronunciation significance, interest in English sounds, and confidence in pronunciation. However, only confidence in pronunciation was significantly correlated with accentedness scores. Results are discussed in terms of the relationship between affective factors and L2 pronunciation attainment.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.383

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)0.0000.000

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 head0.190
GPT teacher head0.361
Teacher spread0.171 · 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