Cross-Temporal Exploration of the Relationship Between Wisdom-Related Cognitive Broadening and Subjective Well-Being: Evidence From a Cross-Validated National Longitudinal Study
Bibliographic record
Abstract
How do intraindividual changes in wisdom-related characteristics of cognitive broadening—open-minded reflection on challenging situations, consideration of change, and epistemic humility—relate to subjective well-being over time? To test this relationship, we performed cross-lagged panel analyses from three waves of the national U.S. sample taken across 20 years, utilizing a cross-validation approach: (i) conduct exploratory analyses on a random subset of data, (ii) preregister hypotheses and methods, and (iii) cross-validate preregistered hypotheses on the other random subset of the data. We found that broadening attitudes predicted greater affect balance and life satisfaction in later years, but not vice-versa. The effect was robust when controlling for trait-level broadening well-being associations, as well as sociodemographic characteristics, openness, and general cognitive abilities. The direction of the positive longitudinal relationship between broadening attitudes and subjective well-being has implications for major existing theories of adult development and subjective well-being.
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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 | 0.005 | 0.009 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".