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Record W2122873302 · doi:10.1177/1948550611425194

Experimental Evidence That Positive Moods Cause Sociability

2011· article· en· W2122873302 on OpenAlex
Deanna C. Whelan, John M. Zelenski

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

VenueSocial Psychological and Personality Science · 2011
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologySocial psychologyHappinessTraitExtraversion and introversionAdjectiveImpression formationBig Five personality traitsSocial perceptionCognitive psychologyPersonalityPerception

Abstract

fetched live from OpenAlex

Although intuitive and predicted by the broaden-and-build theory of positive emotions, previous research has not seriously tested the idea that positive moods can cause sociability. The authors developed a new measure to assess preferences for social (vs. nonsocial) situations, carefully controlling for the fact that social situations are, on average, also more pleasant. Across two additional experiments (combined n = 237), the authors induced positive, negative, and neutral moods with film clips (between-subjects) and found that participants in the positive conditions felt more social (adjective ratings) and indicated stronger preferences for social situations (on the new measure), compared to those in both negative and neutral conditions. Beyond filling an important gap in the empirical record, the authors also explore the implications of this finding for broaden-and-build theory and a large literature linking trait extraversion with happiness.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.314
GPT teacher head0.451
Teacher spread0.137 · 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