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Record W4200170883 · doi:10.5539/ijel.v12n1p154

Raising Students’ Cultural Awareness and Developing Their Intercultural Communicative Competence: The Case of the Greek State Primary School EFL Textbooks

2021· article· en· W4200170883 on OpenAlexvenueno aff
Zoumi Iakovina, Ioannis Karras

Bibliographic record

VenueInternational Journal of English Linguistics · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyIntercultural competenceRaising (metalworking)GlobalizationPedagogyCommunicative competenceIntercultural communicationCompetence (human resources)SociologyPsychologyMathematics educationPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

The present study focuses on the critical evaluation of the cultural content incorporated in the 5th and 6th grade English textbooks, which are taught in the Greek state primary school. Given that we are living in the era of increasing globalization, it is deemed essential that aspects of diverse cultures should be reflected in the English textbooks, thus enabling contemporary EFL learners to master the ability to use the English language efficiently in their intercultural interactions regardless of their socio-cultural background. The research findings succinctly reveal that the vast majority of state EFL teachers in Greece are fervent proponents of an intercultural approach in their teaching practices. However, they are not reliant on the prescribed textbooks under scrutiny for promoting the intercultural dimension in their educational methodology, since their cultural input is assessed as deficient and inadequate for dynamic intercultural instruction.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0020.002
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 head0.047
GPT teacher head0.316
Teacher spread0.269 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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