Personal Meaning Orientations and Psychosocial Adaptation in Older Adults
Bibliographic record
Abstract
This study examined how different patterns of sources of meaning in life impact the psychosocial adaptation of older adults. A total of 120 (62 women and 58 men) community-residing older adults completed self-report measures of sources of meaning in life, physical health, life satisfaction, depression, personality, existential regrets, attitudes toward aging, and attitudes toward life. Cluster analysis of sources of meaning revealed four distinct meaning orientations: self-transcendent ( n = 32), collectivistic ( n = 24), individualistic ( n = 34), and self-preoccupied ( n = 30). MANCOVA analysis of the four groups, controlling for age, marital status, education, and financial satisfaction, revealed a strong multivariate main effect for meaning orientation. No statistically significant gender and Gender × Meaning orientation interaction effects were found. Older adults, who derive meaning from self-transcendent sources, are more extraverted, open to experience, agreeable, and conscientious; perceive greater purpose and coherence in life; feel more in control in directing their lives; express a stronger desire to get more out of life; and are less depressed compared with those who derive meaning through pursuing self-serving interests without any real commitment to personal, interpersonal, or societal development. The implications of the findings for positive aging are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".