Age and the Tenses of Life Satisfaction
Bibliographic record
Abstract
OBJECTIVE: People have a special capacity to live simultaneously in both chronological and biographical time. In this article, we examine reports of life satisfaction that span past, present, and future, considering how perceived changes in certain life domains are associated with overall perceived life trajectories. METHODS: Analyses use men and women from the Midlife Development in the United States survey. We employ gender-stratified fixed effects regression models to examine the net effect of satisfaction with finances, partnerships/marriage, sex, contribution to others, work, health, and relationship with children on trajectories of overall life satisfaction. RESULTS: Among men, partnership and financial satisfaction had the strongest association with life satisfaction. Women displayed a somewhat broader range of domains related to their trajectories of life satisfaction. Partnership was most important, but their sense of evolving life satisfaction was also tied to their relationship with their children, sexuality, work situation, contribution to others' welfare, and financial situation. DISCUSSION: We find several notable differences between men and women, but the most telling differences emerge among women themselves across chronological time. For women, partner satisfaction becomes considerably more important across the age groups, whereas sex, contribution to others, and relationships with children all decrease in their importance for overall life satisfaction.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".