On misattributing good remembering to a happy past: An investigation into the cognitive roots of nostalgia.
Bibliographic record
Abstract
Reflections on the past are often accompanied by an experience of nostalgia, or positive sentiments about some prior stage of one's life. In the current study, we provide evidence suggesting that nostalgic experiences may occur because of positive feelings that accompany the act of successful recall, rather than reflecting the true nature of the past. In a series of experiments, we employed an encoding manipulation to cause some words to support more detailed recollections than others. In turn, we measured the effect of these manipulations on judgments of both pleasantness and the emotional valence of a prior stimulus encounter. We demonstrate that recollections rich in meaning are unique in biasing people to judge having previously seen a stimulus in an emotionally positive context. In contrast, pleasantness judgments appear to be guided primarily by perceptual fluency. Overall, our results are consistent with the notion that the subjective experience of nostalgia represents a misattribution of successful remembering to a pleasant past.
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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 | 0.005 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".