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Record W4415476579 · doi:10.1037/xge0001853

Association of violence exposure and openness to violent activism: Understanding the role of psychological and social factors.

2025· article· en· W4415476579 on OpenAlexafffund
B. Heidi Ellis, Samantha R. Awada, Enryka Christopher, Diana Miconi, Cécile Rousseau

Bibliographic record

VenueJournal of Experimental Psychology General · 2025
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsOpenness to experienceAssociation (psychology)Suicide preventionPoison controlMental healthInjury preventionAgency (philosophy)Human factors and ergonomics

Abstract

fetched live from OpenAlex

= 999). Findings indicated depression and anxiety mediated the association between violence exposure and openness to VA. This finding supports the importance of addressing mental health in prevention approaches. Further, contrary to hypotheses, analyses indicated that the association between exposure to violence and greater openness to VA was strongest for individuals with higher levels of social support who had a positive view of the future. Motivation to promote change may be intensified when individuals feel closer to their social support system and when they believe that the change will be meaningful. Findings highlight the importance of individuals having access to and means of agency in promoting change using nonviolent approaches. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.391

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 head0.051
GPT teacher head0.441
Teacher spread0.389 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

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