MétaCan
Menu
Back to cohort
Record W2113525301 · doi:10.1177/0146167211405343

Humor in Romantic Contexts: Do Men Participate and Women Evaluate?

2011· article· en· W2113525301 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

VenuePersonality and Social Psychology Bulletin · 2011
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyRomanceSocial psychologyPerceptionSelection (genetic algorithm)Function (biology)Argument (complex analysis)Humor researchQuality (philosophy)Impression formationSocial perceptionEpistemologyPsychoanalysis

Abstract

fetched live from OpenAlex

Several lines of research illustrate that humor plays a pivotal role in relationship initiation. The current article applies sexual selection theory to argue that humor production is a fitness indicator, allowing men to transmit information tacitly about their underlying qualities. And whereas prior research has emphasized women's appreciation of humor as a signal of interest, the focus here is on how women evaluate prospective suitors' humorous offerings. Two studies, including an ecologically valid study of online dating advertisements, provided evidence for men's production and women's evaluation of humor in romantic contexts. A third study revealed that women's evaluations of potential mates' humor are predictive of their romantic interest. Moreover, this article shows that preferences for and perceptions of humor are associated with preferences for and perceptions of intelligence and warmth, consistent with the argument that one function of humor is as a fitness indicator that provides information about underlying mate quality.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.995

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.102
GPT teacher head0.393
Teacher spread0.292 · 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