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Record W2017353312 · doi:10.1002/per.505

Humour styles, personality, and well‐being among Lebanese university students

2004· article· en· W2017353312 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEuropean Journal of Personality · 2004
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyCollectivismPersonalitySocial psychologyBig Five personality traitsDevelopmental psychologyScale (ratio)IndividualismClinical psychology

Abstract

fetched live from OpenAlex

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

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

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 head0.025
GPT teacher head0.299
Teacher spread0.274 · 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