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Record W3128688357 · doi:10.37213/cjal.2021.30667

An Investigation into the Cultural Dimension in EFL Classes: Turkish Instructors’ Views and Practices

2021· article· en· W3128688357 on OpenAlexvenueno aff
Hanife Taşdemir, Nurdan Gürbüz

Bibliographic record

VenueCanadian Journal of Applied Linguistics · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationTurkishApplied linguisticsLanguage assessmentLanguage educationForeign languagePsychologyPedagogySociologyLinguisticsMathematics education

Abstract

fetched live from OpenAlex

Culture, a commonly visited concept in English language teaching research, has been integral to language classes. The present study investigated the place of culture in English as a foreign language classes for ten English language instructors teaching at tertiary level across state and private universities in Turkey. The findings revealed that the English language instructors’ opportunities to raise their students’ cultural awareness were not satisfactory, and there was a mismatch between their wishes and practices. This mismatch was mainly attributed to learners’ lack of motivation/interest and their opportunities for visits abroad. The findings also indicated that the participants’ conceptualization of culture in English language classes was predominantly modern, i.e. either as part of the humanistic (big C) paradigm representing canonical literary work produced via a standard language or sociolinguistic (little c) paradigm representing everyday interaction, communication, and patterns of behavior.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.050
GPT teacher head0.293
Teacher spread0.243 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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