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Record W2775576692

Mental Health Challenges of Older Immigrants in Canada

2017· dissertation· en· W2775576692 on OpenAlexaboutno aff
Mehrnaz Alavi

Bibliographic record

VenueNational University System Repository (National University System) · 2017
Typedissertation
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationMental healthGerontologyPsychologyPolitical scienceMedicinePsychiatryLaw
DOInot available

Abstract

fetched live from OpenAlex

The aim of this thesis is to offer an extensive review of current research on the barriers that older immigrants face upon entry to a new host country. Evidence has shown that older immigrants, particularly those from cultural backgrounds that are incongruent with those found in immigrant receiving communities in North America and Europe, are susceptible to relocation stress that manifest in higher levels of depressive symptoms. In general, immigrants and refugees are less likely than their Canadian-born counterparts to seek out or be referred to mental health services, even when they experience comparable levels of distress. Considerable evidence supports the tendency for immigrant older adults and their family members to hide mental health challenges and avoid seeking help out of fear of shame or rejection. Based on the findings of this comprehensive review this thesis offers therapeutic implications for professionals who may work with or encounter these older adults. This includes but is not limited to social workers, medical professionals, and community outreach workers. My review will include an assessment of existing programs for older adults in British Columbia.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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 designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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