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Record W7029405401

International Students Practicing their Wellbeing: Social Connections and Use of Professional Mental Health Services

2025· article· en· W7029405401 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Circumstantial evidenceNonconformistPopulationArticular cartilage damageDerogation
DOInot available

Abstract

fetched live from OpenAlex

International students are a growing group of immigrants in Canada, and in particular in Ontario. Literature has consistently showed that international students experience unique mental health challenges, with reasons ranging from uncertainty about the future to having to cultivate social networks from scratch. Despite these stressors, they access professional mental health services at a lower rate than domestic students. Research has also shown that international students turn to their social connections to address their mental health concerns frequently. The aim of this study is to explore how international students utilize professional mental health services as well as their social connections to talk about their mental health, and how these sources of support differ from each other. In doing so, I also interrogate the structural factors that impact and show up in their preferences to seek social or professional mental health support. The conceptual framework of the study is based on critical theory and empowerment theory, with an emphasis on desire-based approaches. The narratives of 9 international students from different ethno-racial backgrounds are analysed using reflexive thematic analysis. Five themes were generated: the empowering nature of social connection, exploration of mental health needs and desires, The power of good professional support, prioritization of the Canadian experience over the international student experience, and the role of the immigration system in navigating mental health. I discuss the practice and policy implications based on participants' recommendations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.895

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.256
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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