AN AGE-FRIENDLY PROJECT ON SOCIAL ISOLATION AND LONELINESS: LESSONS FROM TORONTO’S CHINESE COMMUNITY
Bibliographic record
Abstract
The World Health Organization’s (WHO) age-friendly cities (AFC) framework is a global movement to promote healthy and active aging in localized contexts. This study provides results from a local AFC initiative addressing social isolation and loneliness in Chinese older adults in Toronto, Canada. A multi-phase methodology using survey and secondary data analysis methods was adopted. First, a scoping review of peer-reviewed and grey literature was conducted to triangulate survey findings. The review included 19 studies indicating a lack of social support as the main risk-factor to feeling isolated and lonely in this population. Second, telephone surveys were conducted in Cantonese, Mandarin and English with Chinese older adults (n=100) living in a local Chinatown neighbourhood. Survey questions addressed issues of social and community connectedness and uptake of community services. 80% of respondents reported easy access and use of services in their neighbourhood. However, moderate levels of social connectedness outside the household were also reported with the greatest percentage of participants (40%) reporting that they had not participated in a social activity with others in the past year. Living arrangements may influence these outcomes as evidenced by the majority of the sample living with a spouse (55%) or living alone (40%). Findings from this study can assist in addressing global social challenges of aging such as social isolation and loneliness in ethnically-diverse older adult populations. Interventions such as multi-lingual services and activities promoting positive social networks among older adults can be beneficial strategies for address this social issue in urban neighbourhoods.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".