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Group Threat, Collective Angst, and Ingroup Forgiveness for the War in Iraq

2009· article· en· W2086958039 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

VenuePolitical Psychology · 2009
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsCarleton University
Fundersnot available
KeywordsIngroups and outgroupsForgivenessHarmPsychologySocial psychology

Abstract

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We examine the consequences of threat to the ingroup for emotional reactions to ingroup harm doing. It was hypothesized that reminders of a past threat to the ingroup would induce collective angst, and this emotional reaction would increase forgiveness of the ingroup for its harmful actions toward another group. In Experiment 1, Americans read an article about the war in Iraq that implied Americans would soon experience another attack or one where such implied future threat to the ingroup was absent. When the ingroup's future was threatened, forgiveness for the harm Americans have committed in Iraq was increased, to the extent that collective angst was induced. In Experiment 2, Americans experienced more collective angst and were more willing to forgive their ingroup for their group's present harm doing in Iraq following reminders of either the terrorist attacks on September 11, 2001, or the 1941 Japanese attack on Pearl Harbor compared to when the victimization reminder was irrelevant to the ingroup. We discuss why ingroup threat encourages ingroup forgiveness for current harm doing.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.618

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 studies0.0000.000
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 head0.039
GPT teacher head0.391
Teacher spread0.352 · 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