MétaCan
Menu
Back to cohort
Record W4224228691 · doi:10.1515/humor-2021-0115

The temperamental basis of humor and using humor under stress in depression: a moderated mediation model

2022· article· en· W4224228691 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHumor - International Journal of Humor Research · 2022
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsSeriousnessPsychologyMediationAssociation (psychology)Clinical psychologyDepression (economics)Developmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.168
GPT teacher head0.491
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it