Correspondence Between Retrospective and Momentary Ratings of Positive and Negative Affect in Old Age: Findings From a One-Year Measurement Burst Design
Bibliographic record
Abstract
OBJECTIVES AND METHOD: Using 5 measurement bursts spanning 1 year, this study examined correspondences between retrospective end-of-year ratings and momentary ratings of positive affect (PA) and negative affect (NA) in 53 older adult participants from the Berlin Aging Study. RESULTS: Average momentary assessments were moderately positively correlated with retrospective ratings of PA and NA. Hierarchical regression analyses further indicate that mean momentary PA best predicted retrospective PA over and above peak or recent momentary PA, whereas no such pattern emerged for NA. No evidence for age differences in these patterns was found. DISCUSSION: Our discussion focuses on the implications of affective memory biases for examining affective experiences as they occur in peoples' daily lives and points to implications concerning methods and theory development.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".