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Record W2172231963 · doi:10.1177/0022022108321177

Validation of the Arabic Humor Styles Questionnaire in a Community Sample of Lebanese in Lebanon

2008· article· en· W2172231963 on OpenAlexaff
Dana Taher, Shahé S. Kazarian, Rod A. Martin

Bibliographic record

VenueJournal of Cross-Cultural Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsArabicPsychologyInterdependenceContext (archaeology)Social psychologySociologySocial scienceGeography

Abstract

fetched live from OpenAlex

The Humor Styles Questionnaire (HSQ) is a measure of two potentially beneficial (affiliative and self-enhancing) and two potentially detrimental (self-defeating and aggressive) humor styles. Validation of the Arabic translation of the HSQ in the Lebanese culture, in which the self is construed as interdependent and in-group relatedness is seen as the primary determinant of well-being, indicates that four humor styles exist in the Lebanese context but that aggressive humor is less clearly distinct in this case, that self-defeating humor may be less clearly maladaptive for the interdependent self of the Lebanese, and that the four humor styles are not as strong predictors of psychological and social well-being in the Lebanese context as they are in the West. The findings suggest conceptual rethinking of humor styles in cultural contexts in which the self is construed as interdependent.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.073
GPT teacher head0.439
Teacher spread0.367 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations47
Published2008
Admission routes1
Has abstractyes

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