Subjective Well-Being Dynamics in Couples from the Australian Longitudinal Study of Aging
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: There is growing evidence for spousal associations in late-life development among key functional domains. Spousal interrelations in subjective well-being (SWB) have primarily been discussed in the context of a model of 'transmission', an indicator of well-being. Typically, depression is used to mark this, but few studies have examined if such transmission can be found over the long term in older couples' SWB. OBJECTIVE: We aimed to determine whether longitudinal dyadic interrelations exist among older couples in the SWB domain, as indicated by morale. METHODS: We applied dynamic models to 11-year longitudinal data of 316 couples from the Australian Longitudinal Study of Aging (median age = 75 years at baseline) to explore whether the levels of SWB for one partner predict change in SWB for the other. RESULTS: Spousal interrelations emerged and were found to be gender-specific with wives predicting subsequent change among husbands, but not the reverse pattern of influence. Husbands whose wives reported higher initial SWB showed a relatively shallower decline over time relative to husbands whose wives reported lower initial SWB levels. These associations were robust after covarying for differences in age, education, health and marital characteristics (number of children and length of marriage). CONCLUSION: Our study is consistent with, and illustrates empirically that close relationships shape individual developmental outcomes. The findings suggest that wives play an important role in setting the affective tone in older couples. We discuss possible factors underlying such interrelations.
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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 | 0.000 | 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 | 0.001 |
| 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 it