Later-life employment trajectories and health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite the recent policy push to keep older adults in the labour force, we know almost nothing about the potential health consequences of working longer. Drawing on a life course approach that considers stability and change in employment patterns, this study examines the relationship between long-term labour market involvement in later life and self-rated health. Our data are from the Health and Retirement Study (1992–2012) for the cohort born 1931–1941 (N = 6522). We used optimal matching analysis to map employment trajectories from ages 52–69, and then logistic regression to examine associations between these trajectories and self-rated health in the early 70s, net of socio-demographics, household resources and prior health. Women prevail in groups characterized by a weak(er) attachment to the labour market and men, in groups signifying a strong(er) attachment. Men who downshifted from full-time to part-time work around age 65 were the least likely to report poor health in their early 70s.Women had the best health if they remained employed, either full-time or part-time. However, unlike men, they appeared to benefit most in health terms when part-time hours were part of a longer-term pattern. While our study findings show that continuing to work in later life may be positively associated with health, they also suggest the need for flexible employment policies that foster opportunities to work part-time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it