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Record W2782684828 · doi:10.1002/ejsp.2362

Living under threat: Mutual threat perception drives anti‐Muslim and anti‐Western hostility in the age of terrorism

2018· article· en· W2782684828 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

VenueEuropean Journal of Social Psychology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsHostilityTerrorismPsychologySocial psychologyPerceptionPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract This research demonstrates a common psychology of outgroup hostility driven by perceived intergroup threat among three groups and seven cultural contexts: non‐Muslim Westerners, Muslims in Western societies, and Muslims in the Middle East. In Study 1, symbolic, but not realistic and terroristic threats, predicted non‐Muslim Norwegians' intentions to join anti‐Islamic movements. In Study 2, symbolic and realistic, but not terroristic threat, predicted non‐Muslim Americans' willingness to persecute Muslims. In Studies 3 and 4, symbolic threat predicted support and behavioral intentions against the West among Swedish and Turkish Muslims. Finally, in Study 5, a comparison demonstrated that symbolic and realistic threats had the same effects on violent intentions among non‐Muslim and Muslim Danes, and Muslims in Afghanistan. Meta‐analysis showed that symbolic threat was most strongly associated with intergroup hostility. Across studies, participants with high religious group identification experienced higher levels of threat. Implications for intergroup research and prejudice reduction are discussed.

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)0.003
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 score0.678
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.051
GPT teacher head0.377
Teacher spread0.326 · 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