THE SOCIAL CONSTRUCTION OF RETIREMENT AND GENDER DIFFERENCES IN RETIREMENT TIMING
Bibliographic record
Abstract
Abstract Retirement is an ever-evolving, dynamic, and complex social construct we associate with the end of one’s career. For some the term is a bad word and a term that needs to be retired, while others can’t wait to retire and enjoy the good life. This paper examines a brief history of retirement and theoretical work from feminist gerontology, while focusing on gender differences in the social construction of retirement and policy implications of 10 different government pension plans. In doing so, it looks at policy implications associated with the standard retirement age tied to public pension plans in the United States, Canada, and the European Union. Findings indicate that women live longer than men in each country, yet women retire earlier and receive lower pensions than men. As the landscape surrounding women’s work experiences changes and concerns about gender equity in salaries and workplace compensation continue to be raised, this paper extends the concerns to raise important questions about inequities in retirement.
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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 | 0.001 |
| 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".