“You’re Not Understood, and You’re Isolated”: A Narrative Account of Loneliness by Black Older Adults in Ontario, Canada
Bibliographic record
Abstract
Loneliness among older adults is a leading health and social concern globally and in Canada, including racialized and minoritized groups. Although previous studies have explored loneliness among ethnic minoritized groups in Canada, little is known about the constellating factors contributing to loneliness among native-born and immigrant Black older adults (BOAs) in Canada and their unique ways of dealing with the experience. Our study explores the constellating factors shaping loneliness experiences among BOAs living in Ontario. Using a narrative approach, we purposively selected and interviewed 13 BOAs. Time as a driver of change, a sense of belonging reinforced through place identity, and challenges of making a new home were dominant themes. Our finding highlights the need for increased cultural sensitivity at the micro and macro levels, which will improve a sense of belonging and reduce loneliness among racialized 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".