Humor styles, culture-related personality, well-being, and family adjustment among Armenians in Lebanon
Bibliographic record
Abstract
Abstract This research examined the structure and correlates of an Armenian translation of the Humor Styles Questionnaire (HSQ; Martin et al. 2003) among a community sample of ethnic Armenians residing in Lebanon. Four humor factors were found, as in the original Canadian samples: affiliative, self-enhancing, aggressive, and self-defeating humor. Scale reliabilities were generally acceptable, and inter-correlations among the scales were low. Armenian-Lebanese participants, as compared to Canadian and Belgian norms, obtained significantly lower scores on all four humor scales. Compared to females, males reported significantly more use of all four styles of humor, particularly aggressive and self-defeating humor. Humor styles correlated differentially, and generally as predicted, with perceived health, psychological well-being, and family adjustment, although they were unrelated to depression. Higher scores on aggressive humor related to higher vertical individualism and lower horizontal and vertical collectivism. Overall, the findings provide cross-cultural support for the theoretical structure and usefulness of the HSQ and represent an initial step in the study of humor among Armenians.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".