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Record W4413740127 · doi:10.17645/pag.10025

Collective Narcissism, Left‐ and Right‐Wing Authoritarianisms, and Justification of War

2025· article· en· W4413740127 on OpenAlexaff
Magdalena Żemojtel‐Piotrowska, Piotr Radkiewicz, Maksim Rudnev, Heather A. Kumove, Jarosław Piotrowski

Bibliographic record

VenuePolitics and Governance · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicWar, Ethics, and Justification
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNarcissismRight wingLeft and rightLeft-wing politicsPolitical sciencePoliticsPolitical economySociologyPsychologySocial psychologyLawEngineering

Abstract

fetched live from OpenAlex

Previous studies found positive relationships between collective narcissism, right-wing authoritarianism, and acceptance of war; however, they overlooked how these wars are seen as justified. In our study (N = 448, Polish community sample), we used a new tool to measure beliefs justifying war, identifying three dimensions: just war (with morally restricted views on reasons and means), unrestricted reasons, and unrestricted means. Using correlational, path, and network analyses, we found that left-wing authoritarianism is related to lower acceptance of just war and higher acceptance of unrestricted means, while secure national identification indicates opposite patterns. Contrary to our expectations, communal national narcissism was linked to lower acceptance of just war. Unexpectedly, even though beliefs justifying war reflect moral principles, they did not vary with religious identification or right-wing authoritarianism. This suggests that being attached to people sharing the same religious affiliation does not necessarily imply adherence to the moral principles that underpin that worldview. This study is the first to demonstrate a disconnect between beliefs justifying war and different forms of ingroup attachment.

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.340

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 head0.027
GPT teacher head0.255
Teacher spread0.228 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2025
Admission routes1
Has abstractyes

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