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Record W4405721297 · doi:10.1080/01924036.2024.2443656

Exploring potential mediators in the relationship between righteous anger and approval of vigilantism

2024· article· en· W4405721297 on OpenAlexaff
Muhammad Asif

Bibliographic record

VenueInternational Journal of Comparative and Applied Criminal Justice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAngerPoliticsMediationPsychologyCriminologySocial psychologyEconomic JusticeTraitPolitical scienceLaw

Abstract

fetched live from OpenAlex

Vigilantism is an extralegal act of beating or killing an accused by a group of vigilantes, posing grave concerns for justice, human rights, and the rule of law. This study contributes by exploring potential mediators between righteous anger and the approval of vigilantism. Moreover, it proposes that the approval of vigilantism is a multidimensional phenomenon, encompassing political encouragement, anger, and police illegitimacy. A multistage sampling was employed to draw the sample, and data were collected from an online survey of 500 university students in Pakistan. The mediation analysis demonstrates that political encouragement, trait anger, and police unlawfulness fully mediate the relationship between righteous anger and the approval of vigilantism. However, counterintuitively, status and relational distance, police fairness, and police effectiveness do not mediate the relationship. These findings suggest that by controlling political encouragement, trait anger, and police unlawfulness, the approval of vigilantism can be reduced and prevented.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.177

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 studies0.0000.000
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 head0.300
GPT teacher head0.437
Teacher spread0.137 · 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 designQualitative
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

Citations3
Published2024
Admission routes1
Has abstractyes

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