Dynamic associations between daily acting with awareness and emotion regulation in individuals living with the effects of a stroke
Bibliographic record
Abstract
= 68.70, SD = 10.56; range = 33-88; 26.7% female; 63.8% with less than college degree). Multilevel models examined the extent to which daily acting with awareness, previous-day negative affect, and previous-day positive affect were associated with daily negative and positive affect. Multilevel models operationally defined emotion regulation as affect carry-over, the extent to which affect lingered from one day to the next. Results revealed that on days when acting with awareness was elevated, negative affect did not carry over from the previous day, suggesting greater emotion regulation. Additionally, on days when acting with awareness was elevated, positive affect was maintained from day to day, indicating lingering positivity effects. Future research should expand upon our correlational findings, as the opposite causal direction might also hold-affect may increase the likelihood of acting with awareness. Overall, findings suggest that mindfulness-based interventions after stroke might benefit from a greater focus on daily acting with awareness.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".