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Record W4388895498 · doi:10.1177/2752535x231217211

Caring in the Context of Systems: Service Provider Perspectives on the Mental Health Needs of Newcomer Young Men

2023· article· en· W4388895498 on OpenAlexaffabout
Mia Tulli-Shah, Carla Hilario, Bukola Salami, Josephine Pui‐Hing Wong

Bibliographic record

VenueCommunity Health Equity Research & Policy · 2023
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsToronto Metropolitan UniversityOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of Calgary
Fundersnot available
KeywordsMental healthService providerInterdependenceContext (archaeology)Psychological resiliencePsychologyService delivery frameworkFocus groupService (business)SociologyPublic relationsSocial psychologyBusinessPsychiatryPolitical scienceMarketing

Abstract

fetched live from OpenAlex

In this study, we applied an intersectional framework to explore service providers' perspectives on the mental health needs of newcomer young men. We conducted focus groups and interviews with 26 service providers in Edmonton, Calgary, and Vancouver, Canada. Findings show that service providers made sense of young men's mental health needs and service access in the context of systems. We identified three interconnected themes: newcomer young men's senses of self in relation to macro-systems, including racism and economic marginalization; settling well as a determinant of mental health; and systems capacities and interdependent resilience. While service providers are engaged in cross-sectoral work in support of newcomer young men's mental health, this work is not being sufficiently supported. Further work is needed around cross-sector capacity bridging and advocacy, as well as the tailoring of services to young men without the assumption and reinforcement of gender stereotypes.

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)0.023
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
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 head0.327
GPT teacher head0.543
Teacher spread0.216 · 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 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

Citations1
Published2023
Admission routes2
Has abstractyes

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