Later-Life Career Disruption and Self-Rated Health: An Analysis of General Social Survey Data
Bibliographic record
Abstract
ABSTRACT The transition from employment to retirement is changing dramatically in Canada and other industrialized societies, with a decreasing proportion of working life being spent in stable career progression. This study used a sample of 2,592 subjects, aged 45 to 64, from the 1994 General Social Survey of Canada (GSS): Cycle 9, to describe situations of later-life career disruption (LLCD) in older workers in Canada and to investigate the association between LLCD and self-rated health. Results showed that a large proportion of older Canadian workers had experienced such LLCD as job interruption and job loss. Experience of job loss and job interruption over the prior 5-year period was found to be significantly associated with poor self-rated health, after controlling for age, education, body mass index, and activity limitation. However, after excluding respondents whose LLCD was known to be due to poor health, job interruption and job loss were separately found not to be significantly associated with poor health. The complexity of the findings and the direction of causation between LLCD and self-rated health, as well as some methodology issues, are discussed. Areas of future research are indicated.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| 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) | 0.001 | 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".