Positive emotion following spousal bereavement: Desirable or pathological?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it