The temperamental basis of humor and using humor under stress in depression: a moderated mediation model
Bibliographic record
Abstract
Abstract The temperamental basis of the sense of humor involves high cheerfulness, low seriousness, and low bad mood that would contribute to exhilaration and enjoyment of humor. In a sample of undergraduate participants ( N = 946), the present study investigated whether (1) use of humor under stress (HUS) mediates the association between cheerfulness and depression and (2) seriousness moderates the cheerfulness and HUS association. HUS had an indirect effect on the negative association between cheerfulness and depression. Moreover, seriousness moderated the cheerfulness and HUS correlation. For individuals with high cheerfulness, HUS scores were comparable across seriousness scores (Mean ± 1 SD). For those with low cheerfulness, individuals with low seriousness reported greater use of HUS. Hence, low seriousness may only predict greater use of humor during stressful situations in individuals with low cheerfulness. This study informs the theoretical conceptualization of temperamental traits in predicting humor-related variables and psychological distress.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".