Predicting Daily Satisfaction with Spouse Responses Among People with Rheumatoid Arthritis
Bibliographic record
Abstract
BACKGROUND: Social support has been strongly linked to health outcomes. However, the factors associated with satisfaction with social support remain poorly understood. PURPOSE: We examined the impact of different types of support, affect, marital satisfaction, personality, and disease-related variables on day-to-day and overall satisfaction with spouse responses. METHODS: Sixty-nine married people with rheumatoid arthritis completed an initial structured interview, followed by twice-daily phone interviews for 1 week. RESULTS: Higher levels of esteem support were associated with increased satisfaction, whereas negative spouse responses were related to decreased satisfaction across the day. Greater positive affect and lower pain were associated with higher concurrent satisfaction, but the effects did not last over the day. At the between-person level, older age and lower fatigue were related to higher satisfaction. CONCLUSIONS: Several key factors related to support satisfaction were identified. Esteem support appeared to play a particularly important role and warrants attention in future research.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".