UNION DISSOLUTION FOLLOWING MARRIAGE AND COHABITATION IN MIDDLE AND LATER LIFE
Bibliographic record
Abstract
and marital unions). Based on dyadic interviews of nine older adult couples (N=18) (ages between 45-80 years), we find that social norms, familial networks, religion, economic status, marital histories and the experience of widowhood/bereavement influence re-partnering choices. In particular, caste and class based differences were important mediators in bridging the normative script and the actual reality. Again, gendered perceptions and expectations around aging, domesticity and health motivated men and women differently to enter into such unions. Overall, both older men and women navigated their post-reproductive lives to re-adapt themselves to the contrary pulls of social sanctioning with individualistic dimensions of autonomy, companionship and sexuality. The study contributes to the cumulative knowledge building of gerontology by examining continuity, transition and heterogeneity of intimate relationships among older Indians.
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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 | 0.001 | 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".