Living arrangements and loneliness of South Asian immigrant seniors in Edmonton, Canada
Bibliographic record
Abstract
ABSTRACT This paper examines the relationships between self-reported loneliness and living arrangements. A structured questionnaire with some open-ended questions was administered face-to-face in English, Hindi or Punjabi to a sample of 161 elderly South Asian immigrants 60 or more years of age living in Edmonton, Alberta, Canada in 2003. The majority of respondents said that they never felt lonely. More than one in three (37.3%) respondents indicated that they felt lonely occasionally, frequently or all of the time. Those living alone were significantly more likely to report feeling lonely at least occasionally than were those living with others, especially those living with their spouse in an extended family. The fact that South Asian immigrant seniors typically lived with others, often in an extended family with or without their spouse, and rarely lived alone protected them to some extent from loneliness. However, our findings showed that among those living with others, it was the amount of waking time spent alone at home and the quality of family relationships rather than living arrangementper sethat significantly predicted self-reported loneliness. Nevertheless, living in a larger household was associated with spending less time alone. We discuss plausible influences of culture on expectations regarding family and social relationships and on the meaning of being alone, as well as practical implications for addressing loneliness in a multi-cultural society.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".