Penalty Versus Premium: Social Disposition Differentiates Life Satisfaction Among Living-Alone Immigrant and Native-Born Older Adults—Findings From the Canadian Longitudinal Study on Aging (CLSA)
Bibliographic record
Abstract
Using data from the Canadian Longitudinal Study on Aging, in this study we provide an alternative explanation for the gap of life satisfaction between living-alone immigrants and Canadian-born older adults. Based on the Big-Five personality traits, we use the latent class analysis to generate two types of social dispositions, social independence and social dependence. With social dispositions taken into account, living alone contributes to life satisfaction in opposite ways for immigrant and Canadian-born older adults, by playing a negative role for the former group and a positive role for the latter. The trend of higher life satisfaction among the living-alone Canadian-born are mainly among the socially independent, whereas for immigrants, socially dependent older adults experience the lowest level of life satisfaction when living alone. Therefore, while socially independent Canadian-born older adults gain a "living-alone premium" in life satisfaction; their socially dependent immigrant counterparts experience a "living-alone penalty" in life satisfaction.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".