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Record W3203290772 · doi:10.5539/elt.v14n10p92

“How the Furby Coming is…”: Interference of First Language and Culture in Thai EFL Learners’ Paragraph Writing

2021· article· en· W3203290772 on OpenAlexvenueno aff
Sakulrat Worathumrong

Bibliographic record

VenueEnglish Language Teaching · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsParagraphPsychologyArgumentativeRhetorical questionLinguisticsClass (philosophy)Second language writingIntercultural communicationInterlanguagePreferencePedagogySecond languageComputer science

Abstract

fetched live from OpenAlex

This study investigated features of first language and cultural interference in Thai EFL learners’ English paragraph writing on popular culture. Drawing from theoretical grounds of interlanguage, language interference, and rhetorical interference, the sample of 30 English paragraphs of Thai EFL undergraduate learners was examined quantitatively and qualitatively. The English writing included 15 paragraphs from the Thai learners with high exposure to English language (TEH) group, and 15 paragraphs from those with the low exposure to English language (TEL) group. Using analysis models of metadiscourse markers and topical progressions, the findings revealed the preference of both groups in the use of interactive and interactional devices as well as SP, PP, and EPP types of topical progressions. The preference highlights the feature of oral-based, inductive, or reader-responsible writing orientation with a possibility of writing development, especially among the TEHs to reach expectation of the target language readers. The findings encourage assessing the Thai EFL learners’ writing as a process and raising frequent awareness of both language and rhetorical interferences when writing English texts. As the introductory stage during COVID-19 remote learning, writing to express learners’ interests could be used as an effective communication strategy for a positive instructor-learner relationship which assists the learners to further engage in the class in a more meaningful way. 

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 score0.070
Threshold uncertainty score0.620

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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