Testing Continuity and Activity Variables as Predictors of Positive and Negative Affect in Retirement
Why this work is in the frame
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Bibliographic record
Abstract
This study tested predictions based on continuity and activity theories, examining effects of continuity and change in activity parameters on positive affect (PA) and negative affect (NA). Retired men and women (N = 368) completed measures of everyday activities and affect, repeating the measures after 2 years. Continuity of activity parameters and affect was dominant, although number of activities decreased and ability in activities and NA increased. Changes in activity predicted changes in affect across time. Increased activity frequency, ability, ease, and future intentions predicted higher PA, and increased ability and ease in activity predicted lower NA. Maintaining same levels in activity parameters usually resulted in maintained PA. The results were interpreted as providing some support for both theories.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it