Marital idealization as an enduring buffer to distress among spouses of persons with Alzheimer disease
Bibliographic record
Abstract
Few disease processes affect the dynamics of marital relationships like neurodegenerative disorders. Illnesses such as Alzheimer disease strip older adults of a lifetime of memories and, in the latter stages, even the ability to recognize one’s spouse and children. In cross-sectional research, marital idealization (or the propensity to idealize one’s spouse and relationship) has emerged as significantly associated with the absence of distress among those caring for a spouse with Alzheimer disease. To extend prior findings, multilevel models were computed for the current study to demonstrate that marital idealization predicts both life satisfaction and the relative absence of caregiver burden one year later; moreover, change in marital idealization reflects a corresponding change in the psychological well-being of spouses over this same period ( N = 90). Results of this study are discussed relative to the distinct demands of caring for a spouse with a dementing disorder, the health benefits of positive illusions, and demographic trends suggesting that family caregiving will become increasingly prevalent in coming years.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".