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Record W175638121 · doi:10.5206/cie-eci.v36i2.9099

Language and Culture Research in the Context of International Education and Second Language Acquisition

2007· article· fr· W175638121 on OpenAlexaffvenue
Sheri Zhang, Robert Anthony

Bibliographic record

VenueComparative and International Education · 2007
Typearticle
Languagefr
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of VictoriaUniversity of Ottawa
Fundersnot available
KeywordsContext (archaeology)HumanitiesSociologyResearch methodologyEthnologyPhilosophyGeography

Abstract

fetched live from OpenAlex

This article is about research methods employed in the context of international education and second language acquisition. Researchers have attempted to interpret communication problems occurring between native and non-native speakers of English within a broad cultural and educational context. Such cultural studies addressing pragmatic and sociocultural dimensions often include methodology debates. We clarify the characteristics and the appropriate use of quantitative-based research methods and qualitative methods of naturalistic inquiry on speech acts, to encourage further research projects on culture based on either method. Cet article traite des méthodes de recherche utilisées dans le contexte de l'éducation internationale et de l'acquisition d'une langue seconde. Les chercheurs ont essayé d'interpréter les problèmes de communication qui se produisent entre les personnes dont la langue maternelle est l'anglais et ceux avec une autre langue maternelle dans un contexte libéral de culture et de l'éducation. De telles études qui abordent les dimensions pragmatiques et socioculturelles, embrassent aussi les débats sur la méthodologie. Nous voudrions éclaircir ici les caractéristiques et l'emploi approprié des méthodes de recherche à base quantitative sur l'action du parler et les méthodes de recherche qualitative naturaliste dans le but d'encourager des projets de recherche futurs sur la culture, basés sur l'une ou l'autre de ces méthodes.

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)0.000
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 score0.361
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.107
GPT teacher head0.450
Teacher spread0.343 · 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

Citations1
Published2007
Admission routes2
Has abstractyes

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