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Record W2926066918

Applying a Structural and Representational Intersectional Perspective to Explore the Challenges International Students Face in Canada

2019· article· en· W2926066918 on OpenAlexaffabout
Shauntelle Nurse

Bibliographic record

Venue2019 Conference of the Canadian Society for the Study of Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPerspective (graphical)NegotiationSociologyIntersectionalityFace (sociological concept)International relationsInternational educationAffect (linguistics)PedagogyPublic relationsPolitical scienceGender studiesHigher educationSocial science
DOInot available

Abstract

fetched live from OpenAlex

The presence of international students on Canadian campuses is often touted as beneficial to the university from both an economic and cultural standpoint. Yet the policies governing international student experiences in Canada scarcely consider how international students experience, understand, and negotiate their university experience. Most studies on the experiences of international students have focused on the individual without analysing how wider social structures and representations inform those experiences. This paper explores the experiences of international students from a macro perspective, utilizing structural and representational intersectional frameworks. Initial findings from this research reveal that the policies governing international students may converge in ways that negatively affect their experiences. A critical discourse analysis (CDA) of the representations of international and Canadian students suggests international students are depicted one-dimensionally, which positions them at a deficit. This research is useful for moving away from an exclusively student-centred approach to investigating international student experiences. It instead examines and challenges how wider systemic factors subordinate international students.

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)0.006
metaresearch head score (Gemma)0.007
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 score0.136
Threshold uncertainty score0.989

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0490.034
Scholarly communication0.0250.006
Open science0.0030.016
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0050.000

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 head0.067
GPT teacher head0.361
Teacher spread0.294 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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Same venue2019 Conference of the Canadian Society for the Study of EducationSame topicInternational Student and Expatriate ChallengesFrench-language works237,207