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Record W2609699313 · doi:10.1111/ssqu.12408

A Double‐Edged Sword: The Countervailing Effects of Religion on Cross‐National Violent Crime

2017· article· en· W2609699313 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

VenueSocial Science Quarterly · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHomicideSWORDViolent crimeCriminologySocial psychologyCleavage (geology)Test (biology)PsychologySociologyPoison controlHuman factors and ergonomicsMedicine

Abstract

fetched live from OpenAlex

Objective There has been a growing interest in the relationship between culture and crime in recent years, but there is little research investigating the role of religion. To clarify this empirical cleavage, we propose a Durkheimian model of the countervailing effects of religion on violent crime. Methods We test our propositions with robust linear models and a large country sample ( N = 100). Results We show that religious intensity and belief in an active God are not significantly associated with intentional homicide. However, religious intensity is positively and significantly associated with assault. We also find that belief in an active God is negatively and significantly associated with assault and has a stronger effect than several structural variables. Conclusion The findings provide partial support for our Durkheimian model and suggest that cultural factors are important for predicting certain types of violent crime.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.003
Scholarly communication0.0010.001
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 head0.032
GPT teacher head0.375
Teacher spread0.343 · 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