Exploring the experience of loneliness among older Sinhalese immigrant women in Canada
Bibliographic record
Abstract
Although people can become lonely at any age, older people are more likely to experience loneliness due to changes and losses that accompany aging. Older women are more likely to be lonely owing to their greater longevity as compared to older men (Hall & Havens, 1999). This situation can be worse for older immigrant women (Guruge, Kanthasamy & Santos, 2007). The purpose of this study was to uncover the experience of loneliness among older Sinhalese women in Toronto. Using a narrative inquiry approach (Clandinin & Clonnelly, 2000), I conducted in-depth individual interviews with two Sinhalese immigrant women. Study findings show that their feelings of loneliness were triggered due to loss of status and privilege, declined social network, negative role transition, and family oppression. Practice implications can include: work towards strengthening and expanding older immigrant women"s social network in order to create a conducive environment for psychosocial health and wellbeing.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".