Unanticipated Consequences: A Comparison of Expected and Actual Retirement Timing Among Older Women
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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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".