Economic Factors Contributing to Social Isolation Among Immigrant Older Adults in the Greater Toronto Area: A Qualitative Interpretive Description
Why this work is in the frame
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Bibliographic record
Abstract
Background: In Canada, 30 percent of the older adult population is foreign-born. Immigrant older adults are more likely to experience significant social isolation due to a variety of factors. However, limited research exists on the influence of specific factors. The objective of this study is to understand the economic factors that contribute to social isolation among older immigrants in the Greater Toronto Area (GTA), Canada. Methods: A qualitative interpretive description method was used. Following research ethics boards’ approval, semi-structured individual interviews were conducted with a total of 47 Arabic, Mandarin, and Punjabi-speaking older immigrants in the GTA. The interviews were conducted in their preferred language, audio-recorded, and translated (when needed) into English and transcribed. Thematic analysis of the data was informed by an ecosystemic framework. Results: Six themes were identified: (1) barriers to finding employment; (2) living a “hand-to-mouth life” due to limited income/pension; (3) housing costs that eliminate choices and options; (4) costs (and availability) of transportation as a barrier to getting around; (5) lack of “essential” healthcare coverage; and (6) costs of community programs that prevent “getting out of the house.” These economic factors at micro, meso, and macro levels of society intersected to create desperate situations that contributed to social isolation among older immigrants in the GTA. Conclusions/Implications: Addressing these economic factors is critical to immigrant older adults’ aging in place. Service providers must advocate for accessible physical and financial resources and services including affordable housing and transportation, old age security, and comprehensive healthcare coverage for older immigrants. Future research should focus on economic challenges faced by older adults across other immigrant communities in the GTA as well as in other cities, provinces, and territories.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it