Valued Activities of Everyday Life Among the Very Old
Bibliographic record
Abstract
Abstract Based on panel data from the Quebec Longitudinal Study on Aging, this article investigates the preferred types of activity of 80-85 year-olds, contrasting for gender and functional health condition. Both MANCOVA (p <.05) and ANCOVA (p <.01), with repeated measures, were used to assess the significance of a change in activity commitment. Results showed that respondents were more involved in emotional, spiritual, and social types of activity. Engagement in activities among older adults did not change significantly over a 1-year period. A reduced capacity in performing instrumental activities of daily living was found to have the most detrimental effect on valued activity. These results indicate that incapacity may have an adverse impact not only on physical activity, but on all other types of activity as well. The analyses suggest that the elderly manage to compensate for the loss in one type of activity by increasing their commitment in other types.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".