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Record W2894764127 · doi:10.1037/xap0000188

The effects of social power and apology on victims’ posttransgression responses.

2018· article· en· W2894764127 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

VenueJournal of Experimental Psychology Applied · 2018
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsYork University
Fundersnot available
KeywordsGeneralizability theoryPsycINFOForgivenessPsychologySocial psychologyContext (archaeology)Power (physics)Developmental psychologyPolitical scienceMEDLINE

Abstract

fetched live from OpenAlex

The purpose of this research was to test how, why, and when social power influences victims' revenge seeking, grudge holding, and forgiveness. Based on Keltner, Gruenfeld, and Anderson's (2003) power approach theory and McCullough, Kurzban, and Tabak's (2013) theorizing about revenge and forgiveness systems, we tested (a) the associations between victims' social power and revenge, grudge, and forgiveness; (b) the mediational role of approach/inhibition motivation in explaining why the associations exist; and (c) the moderating role of whether the transgressor apologizes or not in explaining the associations. Five studies (Ns = 279, 181, 154, 131, and 81) that varied in sample (undergraduate, community), research method (nonexperimental, experimental), context (laboratory, online), measures (self-reported, behavioral), and statistical method (regression, ANOVA), supported our predictions and the systematic generalizability of the effects. Applied implications are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.436

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 studies0.0000.001
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 head0.013
GPT teacher head0.377
Teacher spread0.364 · 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