Unanticipated Consequences: A Comparison of Expected and Actual Retirement Timing Among Older Women
Why this work is in the frame
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Bibliographic record
Abstract
The present study adds to the growing body of literature on women and retirement by means of a comparative analysis of the factors associated with anticipated retirement timing (among pre-retirees) and actual retirement timing (among retirees). Adopting a political economy of aging perspective, we argue that socially-structured patterns of gender inequality related to women's multiple roles across the life course affect patterns of retirement timing. Specifically, we hypothesize that the gendered nature of women's work-retirement decision-making is unanticipated during pre-retirement years. Logistic regression analyses are performed on data drawn from a sample of 275 women aged 45 and older living in the Vancouver area of British Columbia. A central finding is that while actual timing of retirement is affected by family caregiving responsibilities and by health/stress factors, pre-retirees do not perceive these to be important in their own expected retirement timing. Implications for social policy, education, and women's financial and psychological well-being in old age are elaborated.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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 it