The Role of Need Satisfaction as a Distinct and Basic Psychological Component of Autobiographical Memories: A Look at Well-Being
Bibliographic record
Abstract
The purpose of the present research was to show that satisfaction of the psychological needs of autonomy, competence, and relatedness constitutes a basic component characterizing autobiographical memories. In Study 1, a coding scheme and a self-rating method for measuring need satisfaction in memories were developed and shown to be highly related to each other. Across 3 studies using graduate and undergraduate students (Study 1: N=244; Study 2: N=309; Study 3: N=159), need satisfaction was found to be moderately associated with well-being measures, over and above several other memory components usually assessed in research on autobiographical memories. In addition, this association between need satisfaction in autobiographical memories and well-being held, even after controlling for person-level measures, such as personality traits, self-determined orientation, or experience of need satisfaction in general in one's life, thus suggesting that autobiographical memory and semantic self-knowledge are distinct databases.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".