Retrospective Perceptions of Life Satisfaction Change: Evaluation Strategies and Correspondence With Measured Change
Bibliographic record
Abstract
Life satisfaction has been shown to change over time, but we know little about how people perceive those changes. In preregistered analyses, the current research investigated the degree of correspondence between people’s retrospective perceptions of life satisfaction change and their measured life satisfaction change (Sample A analytic N = 359; Sample B analytic N = 336). On average, retrospective perceptions of change were moderately correlated with measured change ( r = .20–.25). When evaluating their life satisfaction change, participants reported that they focused more on the present compared to the past, considered their life circumstances more than their feelings, and engaged in careful consideration more than relying on gut instinct. Findings suggest people have some insight into changes in their life satisfaction. Consistent with the individual differences in evaluating life satisfaction (IDELS) model, people engaged in a variety of evaluation strategies and differed from one another in the degree to which they used each strategy.
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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 | 0.011 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".