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Record W7128217179 · doi:10.32674/zx4w0389

Migratory stress of Bangladeshi international students in Canadian postsecondary institutions

2025· article· W7128217179 on OpenAlexaboutno aff
Rifatur Rahim

Bibliographic record

VenueJournal of International Students · 2025
Typearticle
Language
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialStressorCoping (psychology)Mental healthQualitative researchLanguage proficiencySocial supportWell-being

Abstract

fetched live from OpenAlex

Bangladeshi international students in Canada have strong academic and economic potential but lack proper social integration, which exacerbates their psychosocial challenges. This study aimed to explore their psychosocial challenges to unearth those issues. A qualitative study was conducted with 10 female and male students to examine their social, economic, and personal challenges and identify their coping strategies. This study found that international students go through migratory stress, which comprises various internal and external stressors such as second language anxiety, self-imposed isolation, homesickness, insufficient financial preparation, discrimination, safety concerns, lack of employment opportunities, and weather unsuitability. This study’s findings highlight the need for better social integration, employment opportunities, and mental health support for the students so they can better assimilate into Canadian society.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0060.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.379
Teacher spread0.357 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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