A Tale of Two Emotions: The Diverging Salience and Health Consequences of Calmness and Excitement in Old Age
Bibliographic record
Abstract
Abstract Using two studies, we examined the late life prevalence and health consequences of discrete positive emotions posited to motivate rest and recovery (calmness) or pursuit of novelty and stimulation (excitement). Study 1 assessed the salience of these discrete emotions in older adults (n=73, Mage=73) relative to younger adults (n=73, Mage=23) over a one-week period. Multilevel models showed that older (vs. younger) adults reported higher calmness and lower excitement. Study 2 examined the longitudinal health consequences of calmness and excitement in old age (n=336, Mage=75), as moderated by perceived control. Multilevel growth models showed that calmness, but not excitement, buffered against 10-year declines in psychological well-being (perceived stress, depressive symptoms) and physical health (physical symptoms, chronic conditions) for older adults with low perceived control. Results suggest that positive emotions with disparate motivational functions become more (calmness) or less (excitement) salient and have diverging implications for health in old age.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".