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Record W2112577794 · doi:10.1080/13562517.2010.546524

Internationalisation of higher education: integrating international students into Canadian academic environment

2011· article· en· W2112577794 on OpenAlexaffabout
Shibao Guo, Mackie Chase

Bibliographic record

VenueTeaching in Higher Education · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of British ColumbiaUniversity of Calgary
Fundersnot available
KeywordsInternationalizationGlobalizationAlienationHigher educationInternational educationStudy abroadPaceSociologyPedagogyAdaptation (eye)Public relationsPolitical sciencePsychologyBusiness

Abstract

fetched live from OpenAlex

Fuelled by globalisation, the internationalisation of higher education in Canada is happening at a rapid pace. One manifestation of internationalisation is the increasing enrolment of international graduate students in Canadian institutions. Many of these students face challenges and barriers in integrating into Canadian academic environments including isolation, alienation, marginalisation and low self-esteem. This case study investigates a programme at a large Canadian university intended to help international graduate students with their adaptation to an unfamiliar academic environment. The research shows that the programme was successful in creating a transnational learning space where international students developed a sense of belonging, increased cross-cultural understanding and raised awareness about global issues. More importantly, it helped international students with their integration into a Canadian learning community. The findings have important implications for the development of programmes to provide appropriate levels of support for international students and for building internationally inclusive campuses.

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)0.003
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 score0.961
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0330.006
Scholarly communication0.0120.003
Open science0.0020.014
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.073
GPT teacher head0.389
Teacher spread0.316 · 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

Citations170
Published2011
Admission routes2
Has abstractyes

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