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Record W3170022362 · doi:10.32674/jcihe.v13i2.2138

Newly Arrived South Asian Students’ Experience with the Canadian Healthcare System

2021· article· en· W3170022362 on OpenAlexafffundabout
Inderpreet Khunkhun, Bonnie Fournier

Bibliographic record

VenueJournal of Comparative & International Higher Education · 2021
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsThompson Rivers University
FundersThompson Rivers University
KeywordsHealth careHealthcare serviceCuriosityExploratory researchHealthcare systemService (business)Medical educationNursingPsychologyMedicineBusinessPolitical scienceSociologyMarketing

Abstract

fetched live from OpenAlex

In this article, we report on the experiences of newly arrived South Asian international students (undergraduate and graduate levels) with accessing healthcare services in a small town setting in British Columbia, Canada. The objective of the study was to better understand the barriers and facilitators of accessing healthcare services. We used a qualitative design with an exploratory approach and conducted 8 semi-structured interviews with South Asians students that had newly arrived in the city of Kamloops and had been enrolled at Thompson Rivers University (TRU) for less than 12 months. Findings included barriers such as needing more information during on campus orientation, inefficiencies of the healthcare system, and accessing healthcare service. Facilitators of accessing healthcare services included attending campus orientation, having a curiosity, and a social support system. These findings provide new knowledge regarding the barriers and facilitators of accessing healthcare in Canada. In order to better meet the needs of international students programs and services must be tailored to this unique group of 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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.414
Teacher spread0.360 · 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 designObservational
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

Citations3
Published2021
Admission routes3
Has abstractyes

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