The Unique Contribution of Key Existential Factors to the Prediction of Psychological Well-Being of Older Adults Following Spousal Loss
Bibliographic record
Abstract
PURPOSE: This study examined the unique contribution of key existential factors to the prediction of psychological well-being of older adults following spousal loss. DESIGN AND METHOD: A number of measures to assess psychological well-being, sociodemographic standing, social resources, and religious and spiritual resources were administered to a volunteer sample of widows and widowers to test the hypothesis that existential factors such as personal meaning, religiosity, and spirituality are more potent predictors of psychological well-being than are previously hypothesized variables of sociodemographic, social support, and physical factors. RESULTS: A hierarchical regression analysis of the data supported the hypothesis that existential factors are major contributors to psychological well-being of older adults following spousal loss. Findings showed that widowers, compared to widows, scored lower on the measure of psychological well-being. IMPLICATIONS: Implications of the findings are discussed for practitioners working with bereaved spouses; suggestions for further research concerning bereavement and psychological well-being are made.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".