Gender Differences in How Retirees Perceive Factors Influencing Unretirement
Bibliographic record
Abstract
Returning to paid employment after retirement is occurring in many developed countries and can be expected to increase in the future. This study compared how women (n = 202) and men (n = 347) who had retired from a managerial or professional career occupation perceived factors associated with unretirement. Retired professional women perceived reasons to unretire, age-friendly human resource practices, and re-entry barriers to have greater influence on retirees' decision to unretire than retired managerial women and retired men. Both groups of retired women perceived training and development opportunities to have more influence than retired men. A major contribution of this study is the identification of pre-retirement career occupation as having an important effect on how female, but not male, retirees perceived the various factors. The findings suggest that researchers and employers need to consider the diversity that exists among retirees, not only gender differences but also differences among retired career women.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".