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Record W4414876253 · doi:10.18806/tesl.v42i2/1431

On the Periphery

2025· article· en· W4414876253 on OpenAlexaffvenueabout
Timothy J. E. Neufeld, Christine Doe

Bibliographic record

VenueTESL Canada Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsSocializationMeaning (existential)Thematic analysisPerspective (graphical)AssertionDistancingTUTOR

Abstract

fetched live from OpenAlex

Many Canadian universities actively recruit international students but do not adequately explore or support their unique needs. This article investigates the early stages of language socialization occurring among international master’s students in an English for Academic Purposes (EAP) program. Student perspectives on community membership and characteristics of language socialization within an online asynchronous discussion forum were gathered to understand students’ sense of membership. Collected discussion-forum transcripts, stimulated recalls, and interviews were used to examine these concepts. Data were processed using thematic and discourse analysis. Multiple data sources were utilized to form a holistic perspective and highlight participant interactions. Two participants and their respective experiences were explored and contrasted, demonstrating different engagement strategies, both resulting in the same assertion of marginalized membership within immediate and broader academic communities. The findings revealed that participants perceived themselves as members of the EAP program and the university, but only peripherally, highlighting the challenges international students face. Linguistic, social, and cultural difficulties contributed to their status as members in the margins, which prompted further reliance on connections with other international students to co-construct meaning and socialize into the new community. The implications suggest the broadening of EAP objectives and a call for further exploration of graduate EAP programs. De nombreuses universités canadiennes recrutent activement des étudiants étrangers, mais n’explorent pas ou ne soutiennent pas adéquatement leurs besoins particuliers. Cet article examine les premières étapes de la socialisation en langue additionnelle chez les étudiants internationaux à la maîtrise inscrits à un programme d’anglais sur objectifs académiques (AOA). Les perspectives des étudiants sur l’appartenance à la communauté et les caractéristiques de la socialisation linguistique au sein d’un forum de discussion asynchrone en ligne ont été recueillies pour comprendre le sentiment d’appartenance des étudiants. Des transcriptions de forums de discussion, des rappels stimulés et des entretiens ont été utilisés pour examiner ces concepts. Les données ont été traitées à l’aide d’une analyse thématique et d’une analyse du discours. Des sources de données multiples ont été utilisées pour former une perspective holistique et mettre en évidence les interactions entre les participants. Deux participants et leurs expériences respectives ont été explorés et mis en contraste, démontrant des stratégies d’engagement différentes, aboutissant à la même affirmation d’appartenance marginalisée au sein des communautés académiques immédiates et plus larges. Les résultats ont révélé que les participants se percevaient comme des membres du programme AOA et de l’université, mais seulement de manière périphérique, ce qui met en évidence les défis auxquels les étudiants internationaux sont confrontés. Les difficultés linguistiques, sociales et culturelles ont contribué à leur statut de membres en marge, ce qui les a incités à s’appuyer davantage sur les liens avec d’autres étudiants étrangers pour coconstruire le sens et s’intégrer à la nouvelle communauté. Les implications suggèrent l’élargissement des objectifs des programmes d’AOA et soulignent la nécessité d’explorer davantage les programmes d’AOA adressés aux étudiants des cycles supérieurs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score0.988

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.018
GPT teacher head0.299
Teacher spread0.281 · 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.

Study designNot applicable
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
Published2025
Admission routes3
Has abstractyes

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