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Record W2009280321 · doi:10.5964/ejop.v10i3.763

Humour Use Between Spouses and Positive and Negative Interpersonal Behaviours During Conflict

2014· article· en· W2009280321 on OpenAlex
Lorne Campbell, Sarah Moroz

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEurope’s Journal of Psychology · 2014
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyDyadConflict resolutionSocial psychologyInterpersonal relationshipContext (archaeology)Interpersonal communicationConflict resolution strategyRomanceDevelopmental psychologyNegative emotion

Abstract

fetched live from OpenAlex

The present research investigated the relation between the use of positive, negative and instrumental humour in the context of romantic relationships and relational well-being as assessed by positive and negative patterns of conflict resolution behaviour. A sample of 116 heterosexual married couples completed scales of relational humour use as well as conflict resolution behaviour. Behaviour of couples while attempting to resolve a relationship based conflict was also coded by independent raters. Actor-Partner Interdependence Model (APIM) analyses showed patterns of actor and partner effects for each type of humour use. Specifically, positive humour use of both partners predicted more positive conflict resolution, whereas negative humour use of both partners predicted less positive conflict resolution. Additionally, instrumental humour use of both partners seemed to predict greater apathy during conflict resolution. Implications for considering couple humor use, assessed for both partners of the dyad, for understanding relational well-being 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)0.000
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 score0.098
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.051
GPT teacher head0.368
Teacher spread0.317 · 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