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Record W4386819884 · doi:10.32674/jcihe.v15i4.4921

International Student Transition to Canadian Post-Secondary Institutions

2023· article· en· W4386819884 on OpenAlexaffabout
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Bibliographic record

VenueJournal of Comparative & International Higher Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAcculturationTransition (genetics)Face (sociological concept)Political sciencePublic relationsPsychologyPedagogyEthnic groupMedical educationSociologyMedicineSocial science

Abstract

fetched live from OpenAlex

The number of international students has been increasing in the last decade in Canada. International students are bringing revenue and boosting the local and federal economy. However, they may also face various challenges as compared to domestic students because of cultural and language differences. These students need proper support to transition into Canadian culture and academic environment. The purpose of this research was to find out the challenges that these students face as international students. A semi-structured interview was applied to elicit the experiences of international students studying in Canada. The data indicated that international students go through acculturative stress, and a lack of communication skills makes it even harder to connect and build relationships. Several implications have been indicated for support services that can enhance a smooth transition for these students along with social-cultural awareness so that they feel embraced at Canadian post-secondary institutions while away from home.

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)0.001
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 score0.981
Threshold uncertainty score0.296

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.002
Scholarly communication0.0070.001
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.002

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 head0.086
GPT teacher head0.447
Teacher spread0.361 · 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

Citations4
Published2023
Admission routes2
Has abstractyes

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Same venueJournal of Comparative & International Higher EducationSame topicInternational Student and Expatriate ChallengesFrench-language works237,207