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Record W2070178563 · doi:10.1002/ejsp.354

Effects of power on emotion and expression during a controversial group discussion

2006· article· en· W2070178563 on OpenAlex
Jennifer L. Berdahl, Paul V. Martorana

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 · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyPower (physics)AngerSocial psychologyExpression (computer science)Social powerDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract The approach/inhibition theory of power proposes that elevated social power increases the experience and expression of positive emotions and that reduced social power increases the experience and expression of negative emotions (Keltner, Gruenfeld, & Anderson, 2003 ). The evidence to date for these proposed relationships is correlational. Studies that have attempted to find a causal link between power and emotions have failed to do so. The current study manipulated social power in 61 three‐person groups that engaged in a meaningful discussion (explanations for poverty in the US) that produced disagreements and strong emotions. High power individuals experienced and expressed more positive emotions and less anger than low power individuals did. High power individuals were also more likely than low power individuals to openly express their opinions during the group discussion. Implications for theory and future research are discussed. Copyright © 2006 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 score0.964
Threshold uncertainty score0.321

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)0.0000.000

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 head0.008
GPT teacher head0.294
Teacher spread0.286 · 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