Resilience and Positive Emotions: Examining the Role of Emotional Memories
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
Resilience has been frequently associated with positive emotions, especially when experienced during taxing events. However, the psychological processes that might allow resilient individuals to self-generate those positive emotions have been mostly overlooked. In line with recent advances in memory research, we propose that emotional memories play an important role in the self-generation of positive emotions. The present research examined this hypothesis in two studies. Study 1 provided initial data on the validity and reliability of a measure of emotional memories networks (EMN) and showed that it had a predictive value for broad emotion regulation constructs and outcomes. In addition, Study 1 showed that positive EMN mediated the relationship between psychological resilience and the experience of positive emotions in a context of sadness, even after controlling for pre-experimental positive mood. Study 2 replicated results of Study 1 in a context of anxiety and after controlling for positive affectivity trait.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it