Expressed emotion, adaptation, and patient survival among couples coping with chronic heart failure.
Bibliographic record
Abstract
Previous research (J. C. Coyne et al., 2001) that showed that marital functioning predicted mortality among patients with chronic heart failure (CHF) led to an examination of whether expressed emotion (EE) captured negative marital influences on patient survival. The authors assessed EE using 5-min speech samples obtained from patients (137 men and 47 women) and their spouses. Prevalence of EE was low, and patient and spouse EE were unrelated. Spouse EE was not associated with survival, after the authors controlled for severity of illness. Among patient EE variables, high EE status predicted survival, but in the opposite direction of what was anticipated. Overall, relations between EE and self-report measures of adaptation were weak and inconsistent. Despite the strength of findings concerning EE and psychiatric outcomes, EE does not show promise in predicting adaptation to CHF, and researchers and clinicians should instead seek to identify positive marital factors that may promote patient survival.
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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 | 0.001 | 0.008 |
| 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 | 0.001 | 0.000 |
| 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".