Women's Retirement and Self-Assessed Well-Being: An Analysis of Three Measures of Well-Being Among Recent and Long-Term Retirees Relative to Homemakers
Bibliographic record
Abstract
Focusing on women from the U.S. over 60 years old in 2006, this study analyzed the relationship between retirement and three subjective measures of well-being: depressive symptoms, financial worries, and health. Drawing on the life course perspective and the heterogeneity of women's labor force experiences, this study contrasted the well-being of recent retirees with those who self-identified as homemakers (n = 1695) and long-term retirees with homemakers (n = 2012). Findings indicated that being a recent retiree was associated with more favorable reports of health and that being a long-term retiree was more favorably associated with accounts of all three outcome measures relative to homemakers. Thus, despite the major role change they experienced, findings support the notion that participating in the paid labor force may have been a protective factor with regard to self-assessed well-being.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".