The Role of Episodic Memories in Current and Future Well-Being
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of the present research was to examine the automatic role of psychological need satisfaction in episodic memories and in their associated networked memories on people's sense of well-being. In each of four studies, participants were asked to describe a main episodic memory and networked memories, that is, other memories related to their main episodic memory. Results of Studies 1 and 2 revealed that levels of need satisfaction in a main episodic memory and in its networked memories both uniquely contributed to the prediction of well-being (based on either participants' or peers' ratings). Study 3 examined the automatic effect of priming an episodic memory network on people's well-being in the here and now. Study 4 revealed that need satisfaction in episodic memory networks predicted changes in well-being over time. In addition, this relationship held after controlling for broad dispositional traits, mental health, and general need satisfaction ratings.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 it