Aging, Identity, and Women: Constructing the Third Age
Bibliographic record
Abstract
The “Third Age” offers a conceptualization of the lives of those who are retired and beyond middle age but not facing any disability stereotypically associated with the “old.” Emphasizing good health, freedom from the responsibilities of younger adulthood, and continuing engagement with the world, it articulates a specific form of positive aging that has received very little attention within psychology. We adopted a feminist and critical discursive approach in exploring how eight women, who fit the Third Age profile, understand their lives and who they are. Audiotaped semi-structured interviews were transcribed and analyzed. The participants drew on four pairs of interpretative repertoires in constructing the meanings of aging. Their identity work involved positioning themselves as “not old” and establishing continuity between who they have been in the past and who they are now. The results highlight the women’s agency as they negotiated between the discursive resources available to them. Drawing on a framework for feminist therapy that incorporates an emphasis on social change, we discuss the implications of these results.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.027 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".