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Record W2768565721 · doi:10.1177/1557988317743384

“Just as Canadian as Anyone Else”? Experiences of Second-Class Citizenship and the Mental Health of Young Immigrant and Refugee Men in Canada

2017· article· en· W2768565721 on OpenAlexaffabout
Carla Hilario, John L. Oliffe, Josephine Pui‐Hing Wong, Annette J. Browne, Joy L. Johnson

Bibliographic record

VenueAmerican Journal of Men s Health · 2017
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsSimon Fraser UniversityToronto Metropolitan UniversityUniversity of British Columbia
Fundersnot available
KeywordsRefugeeMental healthImmigrationContext (archaeology)CitizenshipGender studiesThematic analysisNarrativeSociologyPopulationQualitative researchPolitical sciencePsychologyGeographyPoliticsSocial scienceDemographyPsychiatry

Abstract

fetched live from OpenAlex

In recent years, the experiences of immigrant and refugee young men have drawn attention worldwide. Human-induced environmental disasters, local and global conflicts, and increasingly inequitable distributions of wealth have shaped transnational migration patterns. Canada is home to a large immigrant and refugee population, particularly in its urban areas, and supporting the mental health and well-being of these communities is of critical importance. The aim of this article is to report findings from a qualitative study on the social context of mental health among immigrant and refugee young men, with a focus on their migration and resettlement experiences. Informed by the conceptual lens of social context, a thematic narrative analysis approach was used to examine qualitative data from individual and group interviews with 33 young men (age 15 to 22 years) self-identified as immigrants or refugees and were living in Greater Vancouver, western Canada. Three thematic narratives were identified: a better life, living the (immigrant) dream, and starting again from way below. The narratives characterized the social context for immigrant and refugee young men and were connected by a central theme of negotiating second-class citizenship. Implications include the need for mental health frameworks that address marginalization and take into account the contexts and discourses that shape the mental health of immigrant and refugee populations in Canada and worldwide.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.323
Teacher spread0.307 · 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 designQualitative
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

Citations26
Published2017
Admission routes2
Has abstractyes

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