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Record W2007774500 · doi:10.1037/0022-3514.94.6.988

Remembering historical victimization: Collective guilt for current ingroup transgressions.

2008· article· en· W2007774500 on OpenAlexafffund
Michael J. A. Wohl, Nyla R. Branscombe

Bibliographic record

VenueJournal of Personality and Social Psychology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIngroups and outgroupsPsychologySocial psychologyHarmCollective responsibilityThe HolocaustGroup conflictJudaismIn-group favoritismGenocideSocial groupSocial identity theoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

The authors examined the consequences of remembering historical victimization for emotional reactions to a current adversary. In Experiment 1, Jewish Canadians who were reminded of the Holocaust accepted less collective guilt for their group's harmful actions toward the Palestinians than those not reminded of their ingroup's past victimization. The extent to which the conflict was perceived to be due to Palestinian terrorism mediated this effect. Experiment 2 illustrated that reminding Jewish people, but not non-Jewish people, of the Holocaust decreased collective guilt for current harm doing compared with when the reminder concerned genocide committed against another group (i.e., Cambodians). In Experiments 3 and 4, Americans experienced less collective guilt for their group's harm doing in Iraq following reminders of either the attacks on September 11th, 2001 or the 1941 Japanese attack on Pearl Harbor compared with a historical victimization reminder that was irrelevant to the ingroup. The authors discuss why remembering the ingroup's past affects responses to outgroups in the present.

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.

How this classification was reachedexpand

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.169
GPT teacher head0.430
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations297
Published2008
Admission routes2
Has abstractyes

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