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Record W2509856139 · doi:10.5964/ejop.v12i3.1115

Birds of a feather laugh together: An investigation of humour style similarity in married couples

2016· article· en· W2509856139 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

VenueEurope’s Journal of Psychology · 2016
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsModerationSimilarity (geometry)PsychologyStyle (visual arts)Association (psychology)Social psychologyDevelopmental psychologyArtLiterature

Abstract

fetched live from OpenAlex

The present research investigated the degree of similarity in humour styles between spouses as assessed with the Humour Styles Questionnaire (HSQ). Furthermore, self-esteem was investigated as a potential moderator of partner humour style similarity. A sample of 116 heterosexual, married couples independently completed questionnaires assessing self-reported humour styles across the 32 item HSQ, as well as global self-esteem. Results indicated that there is significant positive association between the humour styles of married partners. This association was moderated by individual self-esteem. Specifically, participants with high self-esteem were found to have greater humour style similarity with their partners. Similarity was also greater for positive compared to negative types of humour. Implications for the use of dyadic data in investigating the roles of humour within couples are discussed.

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 score0.469
Threshold uncertainty score0.983

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)0.0010.000

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 head0.057
GPT teacher head0.373
Teacher spread0.316 · 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