Bibliographic record
Abstract
ABSTRACT Although the loneliness of both older adults and immigrants is frequently asserted, knowledge regarding the implications of immigration for loneliness in later life is limited. In particular, little attention has been directed to the impact of factors that might differentiate individuals within the immigrant population. Using data from the 2007 General Social Survey (GSS-21) conducted by Statistics Canada, this study examined the effects of immigrant status as well as immigrant generation, length of residence in Canada and race/ethnicity on loneliness among adults aged 60 and over (N=10,553). Regression analyses (ordinary least squares) estimating both the general and age-specific effects of immigrant experience on loneliness, indicated that immigrants report higher levels of loneliness than native-born Canadians, that race/ethnicity influenced loneliness particularly among immigrants and that generational status as well as length of residence also had an impact, but one that differed across age groups. Immigration-related variables appeared less consequential for loneliness in the oldest-old (aged 80+) than in younger elderly age groups. These findings attest to the significance of immigrant status for an understanding of loneliness in later life but suggest a need to acknowledge the diversity of immigrant experiences associated with lifecourse and other factors.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".