Humour styles, personality, and well‐being among Lebanese university students
Bibliographic record
Abstract
This research examined the structure and correlates of the Humor Styles Questionnaire (HSQ) in Lebanese university students. Four humour factors were found, as in the original Canadian samples: Affiliative, Self‐Enhancing, Aggressive, and Self‐Defeating humour. Scale reliabilities were generally acceptable, and inter‐correlations among the scales were low. Lebanese participants scored lower than Canadians on Affiliative and Self‐Enhancing humour and lower than Belgians on Affiliative and Aggressive humour. As in Canadian and Belgian samples, males reported significantly more use of Aggressive and Self‐Defeating humour than did females. Humour styles correlated differentially, and generally as predicted, with horizontal and vertical individualism and collectivism, attachment styles, perceived health, and psychological well‐being. Overall, the findings support the cross‐cultural stability of the HSQ as well as the differential relationship of these humour styles with culture‐related personality traits and psychological well‐being. Copyright © 2004 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".