MARITAL SATISFACTION AND SELF-DECEPTION: RECONSTRUCTION OF RELATIONSHIP HISTORIES AMONG OLDER ADULTS
Bibliographic record
Abstract
The relationship among marital aggrandizement, satisfaction with life, and marital satisfaction is examined among an international sample of older adults (N = 400). Three distinct groupings are identified on the basis of cluster analysis. A minority of participants emerged as dissatisfied with life and marriage. This grouping (the distraught) holds realistic perceptions of their relationship history. The same is true for a larger grouping identified as the realistically content who appear satisfied with life and marriage. The largest grouping (Pollyannas) also appears highly satisfied with life and marriage. Of note, these participants also engage in selective recall negating the occurrence of negative events and perceptions of their spouse and marriage. Multivariate Analysis of Variance (MANOVA) suggests that Pollyannas convey a tendency for self-deception that distinguishes them from the other two groupings. These results are discussed in terms of demographic trends and directions for 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".