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Record W7107876665 · doi:10.20381/ruor-31556

Exploring Hong Kong Newcomer Post-Secondary Students' Perceptions of Their Mental Health and of Mental Health Services and Supports in the Ottawa-Gatineau Region

2025· dissertation· en· W7107876665 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Ottawa - Library · 2025
Typedissertation
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthThematic analysisPerceptionQualitative researchStigma (botany)Middle Eastern Mental Health Issues & SyndromesImmigration

Abstract

fetched live from OpenAlex

Background: The purpose of this research study was to explore the perceptions of Hong Kong newcomer post-secondary students of their mental health and of mental health services and supports in the Ottawa-Gatineau region. Existing research indicates that Hong Kong newcomers experience challenges in their host countries but are reluctant to seek mental health services and support. This study seeks to answer the following overarching research question: How do Hong Kong newcomer post-secondary students perceive their mental health and the mental health services and supports in the Ottawa-Gatineau region? As part of this overall objective, the study aimed to understand a) the challenges and stresses the students encountered since coming to Canada that could impact their mental health, b) their utilization of mental health services available to them in the Ottawa-Gatineau region and beyond, c) the strategies they used to alleviate mental health challenges, and d) the recommendations they had regarding mental health services in the Ottawa-Gatineau region. Methods: A qualitative study based on 10 semi-structured interviews with Hong Kong newcomer post-secondary students was conducted. The transcripts were analyzed using a combination of inductive and deductive approaches based on Braun and Clarke's (2006) six-step thematic analysis process. Results: Participants shared and elaborated on their post immigration experiences and on their perceptions of their mental health. Common immigration challenges upon arrival included language, financial and social challenges. Most participants had never sought mental health care for various reasons including fear of stigma and lack of awareness of available services. Participants generally relied on their existing social networks to obtain mental health support and suggested the need to increase awareness of services to encourage help-seekers. Conclusion: The participants' responses largely agreed with existing research findings, but also highlight the importance of considering unique individual experiences, which can vary vastly. The findings from this study can help policy makers, health providers and managers make informed decisions for improving mental health care experiences for Hong Kong newcomer 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.022
GPT teacher head0.280
Teacher spread0.257 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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