Better late than early: Marital timing and subjective well-being in midlife.
Bibliographic record
Abstract
Drawing on data from 405 Canadian adults surveyed as high school seniors (Age 18) and again in midlife (Age 43), the present study examined whether marital timing, a variable rooted in the age norm hypothesis (whether marriage was early, on time, or late in relation to peers), might contribute additional insight into the well-documented association between marital status and subjective well-being (SWB; happiness, symptoms of depression, and self-esteem). The analysis also considered 3 alternative explanations of the marriage-SWB link: the social selection hypothesis, social role theory, and the adaptation perspective. Path analysis results demonstrated marrying on time or late compared with marrying early predicted fewer symptoms of depression in midlife, offering some support for the age norm hypothesis. Little support was found for the social selection hypothesis, but getting married and divorcing were consistently linked with future SWB, in accordance with social role theory. Marrying at an older age predicted higher self-esteem in midlife for men, implying potential adaptation. (PsycINFO Database Record
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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 | 0.001 | 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) | 0.001 | 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".