The Relationship Between Engagement in Meaningful Activities and Quality of Life in Persons Disabled by Mental Illness
Bibliographic record
Abstract
A hypothesized relationship between engagement in meaningful activities and quality of life was tested for thirty-two individuals attending a community mental health agency's programs. They completed the Lehman Quality of Life Interview; the Derogatis Symptom Checklist-90-Revised, and the Engagement in Meaningful Activities Survey (EMAS), constructed for this study. It measures 12 facets of the meaningfulness of activities and includes some open-ended questions. Its test-retest reliability and Cronbach Alpha were .69 and .84, respectively. Participants were involved in a wide range of activities that were most lacking in providing appropriate challenge and a sense of control. Engagement in meaningful activities was significantly correlated with satisfaction with life as a whole (p < .05), but depression accounted for most of the variance. Some support is provided for the theorized value of meaningful activity engagement and recommends strategies to increase the meaningfulness of activities. Findings alert clinicians to the importance of treating depression.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".