AGE-RELATED AND DEATH-RELATED DIFFERENCES IN EMOTIONAL COMPLEXITY
Bibliographic record
Abstract
Emotional complexity, as seen in covariation between retrospective judgments of positive and negative affects, has shown mixed evidence. We propose that emotional complexity may remain intact or even increase in old age, and yet it decreases in light of functional deterioration shortly before death. We used 3 large-scale databases: 2 cross-sectional (SHARE, N=17,437, Mage=64; HRS, N =6,032, Mage=67) and 1 longitudinal (CALAS, N=1,310, Mage= 83). Hierarchical multiple regressions and multilevel models showed that respondents who perceived themselves as closer to death or were actually closer to death showed lower emotional complexity (a stronger negative correlation between positive and negative affects). Age and emotional complexity were unrelated or positively related, depending on the sample. The results indicate that both subjective and objective closeness to death are associated with lower emotional complexity. This death-related decrease in emotional complexity is discussed within current theories of aging.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| 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 teacher head, 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".