EXPERIENCES OF SOCIAL ISOLATION BY MANDARIN AND PUNJABI-SPEAKING OLDER IMMIGRANTS LIVING IN CALGARY
Bibliographic record
Abstract
Abstract Loneliness and social isolation have continued to be risk factors for the health and overall quality of life of older adults globally. The impact of loneliness on healthy ageing may even be more profound for older immigrants in Western countries like Canada, where there is a different language and culture from that of their home countries. As part of the Inclusive Communities for Older Immigrants (ICOI), which seeks to create knowledge about social isolation and improve social connectedness among older immigrants across Canada, we examined the experiences of social isolation amongst older Mandarin and Punjabi-speaking immigrants aged 60 years and over living in Calgary. Quantitative data was collected from 64 (33 Mandarin-speaking and 31 Punjabi-speaking) older adults in Calgary, Alberta. The data were cleaned and analysed using descriptive analysis with the aid of Statistical Packages for Social Sciences (SPSS), and findings showed that older immigrants conceptualised social isolation as limited participation in various community activities. Our results also showed that older immigrants perceived physical and mental health status, social conditions and environmental conditions as significant factors predisposing older immigrants to social isolation. The study, therefore, recommends designing interventions that will increase older immigrants’ participation in community activities considering their age, language, disabilities, health, and social conditions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".