How to become more grateful? The mediating role of resilience between empathy and gratitude
Bibliographic record
Abstract
Abstract The current study examined the relationship between empathy, resilience, and gratitude. Specifically, the study investigated the potential mediating role of resilience between empathy and gratitude. The study involved 214 participants who completed the Gratitude Resentment and Appreciation Test-Revised (GRAT-R), the Questionnaire of Cognitive and Affective Empathy (QCAE), and the Resilience Measurement Scale (SPP-25). The results showed significant positive correlations among resilience, empathy, and gratitude. Multiple regression analysis confirmed that resilience, gender, and affective empathy were direct predictors of the level of gratitude. Structural equation modeling (SEM) analysis supported the hypothesis that resilience played a mediating role between empathy and gratitude. Implications for research and the promotion of positive psychology programs for adults are discussed.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".