Positive emotion following spousal bereavement: Desirable or pathological?
Bibliographic record
Abstract
Positive emotion following bereavement was examined in a prospective longitudinal study. Participants lost a spouse (n = 250) and were interviewed prior to the death, 6 months after the death, and in some cases 18 and 48 months after the death. Early theorists suggested that positive emotion during times of distress may indicate pathology. In contrast, more recent theorists suggest that positive emotion is desirable even during times of distress. In this analysis, positive emotion was associated with desirable outcomes (less depressed mood, more social support received, more social provision to others) and this effect was not diminished among people reporting elevated levels of distress. Also, the simultaneous occurrence of positive emotion and distress was not associated with pre-existing emotional instability. Those experiencing positive emotion reported lower levels of grief, but not qualitatively different grief. The findings suggest that positive emotion tends to be associated with desirable outcomes even among people reporting elevated distress.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".