Promoting mental health of immigrant seniors in community
Bibliographic record
Abstract
Purpose – The purpose of this paper is to explore if and how community organizations providing services to late-in-life Punjabi immigrants in British Columbia, Canada, offer services with the potential to promote their mental health or well-being. The authors also wanted to know how Punjabi seniors perceived available services and if they supported their mental well-being. Design/methodology/approach – To guide the research, the authors used the VicHealth Framework, which identifies three overarching social and economic determinants of mental health: social inclusion (SI), freedom from violence and discrimination, and access to economic resources and participation. This mixed methods study combines descriptive survey and qualitative focus group data with input from Punjabi seniors and community service providers. Findings – All three mental health determinants were identified as important by service providers and seniors, with SI as the most important. Family dynamics (shaped by migration and sponsorship status) influence all three determinants and can promote or diminish mental well-being. Research limitations/implications – The pilot study is limited in sample size and scope and further inquiry with different groups of immigrant older adults is warranted. Practical implications – Service providers assert that more outreach and sustainable funding are needed to reach the majority of potential beneficiaries unable to participate in community programmes. Information on mental well-being of seniors should be targeted at both seniors and their families. Originality/value – The VicHealth Framework provided a unique lens through which to explore the contributions of community organizations to mental health promotion for immigrant older adults.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".