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Record W2146938970 · doi:10.1002/ejsp.573

When scowling may be a good thing: The influence of anger expressions on credibility

2008· article· en· W2146938970 on OpenAlex
Shlomo Hareli, Raveh Harush, Ramzi Suleiman, Michel Cossette, Stephanie Bergeron, V. Lavoie, Guillaume Dugay, Ursula Heß

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

VenueEuropean Journal of Social Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsUniversité du Québec à MontréalHEC Montréal
Fundersnot available
KeywordsAngerCredibilityPsychologyComplaintHarmPlaintiffSocial psychologyValue (mathematics)Compensation (psychology)Ambiguity

Abstract

fetched live from OpenAlex

Abstract Emotion displays do not only signal emotions but also have social signal value. A study was conducted to test the hypothesis that expressing anger when complaining may lead to positive outcomes for the complainant because anger signals goal obstruction and hence the presence of real harm. The results suggest that the social signal value of anger enhances the credibility of the complainant and hence leads to better compensation, but only when the complaint itself presents room for doubt. For highly justified complaints the additional expression of anger does not add information and is discounted. In contrast, showing an affiliative‐smiling demeanor was found to enhance credibility for both types of complaints. Overall, the present research confirmed the important role of emotion expressions as social signals. Copyright © 2008 John Wiley & Sons, Ltd.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.761

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 science0.0010.000
Research integrity0.0000.001
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 head0.130
GPT teacher head0.394
Teacher spread0.264 · 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