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Record W2171271168 · doi:10.1177/1368430213485994

Extinction threat and reciprocal threat reduction: Collective angst predicts willingness to compromise in intractable intergroup conflicts

2013· article· en· W2171271168 on OpenAlexaff
Eran Halperin, Roni Porat, Michael J. A. Wohl

Bibliographic record

VenueGroup Processes & Intergroup Relations · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsCarleton University
Fundersnot available
KeywordsCompromiseSocial psychologyPsychologyReciprocalContext (archaeology)Extinction (optical mineralogy)AdversaryPolitical scienceComputer securityLaw

Abstract

fetched live from OpenAlex

Two experiments examined the impact of ingroup extinction threat on willingness to compromise with an adversary group. Specifically, Israel’s ability to cope with a nuclear capable Iran was manipulated and Israelis’ willingness to compromise with Hamas (Experiment 1) or the Palestinian Authority (Experiment 2) was assessed. In Experiment 1, extinction threat decreased willingness to compromise with Hamas—an effect mediated by heightened collective angst. Conversely, in Experiment 2, extinction threat increased willingness to compromise with the Palestinian Authority, again via collective angst. The reason for this inverted effect in Experiment 2 was perceived reciprocal threat reduction—the belief that compromise with the Palestinian Authority would reduce the Iranian threat (a belief not relevant to the issue of compromise with Hamas). Implications for the understanding of intergroup conflicts and peace making are discussed within the context of the role played by collective angst.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.292
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations64
Published2013
Admission routes1
Has abstractyes

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