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Record W2968335545 · doi:10.35502/jcswb.94

The social disorganization of intimate partner violence

2019· article· en· W2968335545 on OpenAlexaffvenue
Anthony Piscitelli, Sean Doherty

Bibliographic record

VenueJournal of Community Safety and Well-Being · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsWilfrid Laurier UniversityConestoga College
Fundersnot available
KeywordsDomestic violenceDisadvantageNeighbourhood (mathematics)CriminologyInformal social controlContext (archaeology)Collective efficacySocial psychologySociologyProperty (philosophy)Poison controlSocial controlPsychologyHuman factors and ergonomicsPolitical scienceGeographySocial scienceEpistemologyMedicine

Abstract

fetched live from OpenAlex

Recently, scholars have begun to recognize new theoretical connections between geography and intimate partner violence (IPV). One such theory is social disorganization theory (SDT). According to SDT, crime in communities can primarily be explained as a consequence of economic disadvantage, insufficient informal social control, lack of collective efficacy, and family breakdown. SDT is typically used in the context of property crime and public violence. This article reviews this evolving literature, proposing a unique and comprehensive concept map offering insights into how neighbourhood dynamics influence IPV.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
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 studies0.0010.000
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 head0.017
GPT teacher head0.330
Teacher spread0.313 · 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.

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

Citations5
Published2019
Admission routes2
Has abstractyes

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