{"title":"Explaining the directionality of gang violence with court records","authors":"Gisela Bichler, Alexis Norris, Citlalik Ibarra","doi":"10.1108/JACPR-11-2020-0558","DOIUrl":null,"url":null,"abstract":"\nPurpose\nStudies of gang violence typically use police reports to investigate the structure of gang conflict, but overreliance on a singular data source could impede crime control efforts. Extending networked criminology, this study aims to explore what court records reveal about the directionality of gang conflicts.\n\n\nDesign/methodology/approach\nControlling for the presence of a civil gang injunction (CGI), the authors use multivariate quadratic assignment procedure regression models to disentangle factors thought to account for structural patterns of gang violence mapped from 933 prosecutions involving 307 gangs associated with violent conflict affecting the City of Los Angeles (1998–2013). Specifically, the authors compare competitive advantage to the explanatory power of turf proximity.\n\n\nFindings\nOne measure of turf proximity outperforms all other explanatory factors – gangs with turf centrally positioned in a turf adjacency matrix are significantly more likely to launch attacks, be victimized and exhibit the highest levels of imbalance in their violent involvements. Regarding competitive advantage, the number of cliques and level of internal conflict are significant. Finally, being subject to a CGI is associated with initiating violence.\n\n\nOriginality/value\nCourt cases offer a feasible alternative to police data when investigating patterns of intergroup street gang violence.\n","PeriodicalId":45499,"journal":{"name":"Journal of Aggression Conflict and Peace Research","volume":" ","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Aggression Conflict and Peace Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/JACPR-11-2020-0558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 3
Abstract
Purpose
Studies of gang violence typically use police reports to investigate the structure of gang conflict, but overreliance on a singular data source could impede crime control efforts. Extending networked criminology, this study aims to explore what court records reveal about the directionality of gang conflicts.
Design/methodology/approach
Controlling for the presence of a civil gang injunction (CGI), the authors use multivariate quadratic assignment procedure regression models to disentangle factors thought to account for structural patterns of gang violence mapped from 933 prosecutions involving 307 gangs associated with violent conflict affecting the City of Los Angeles (1998–2013). Specifically, the authors compare competitive advantage to the explanatory power of turf proximity.
Findings
One measure of turf proximity outperforms all other explanatory factors – gangs with turf centrally positioned in a turf adjacency matrix are significantly more likely to launch attacks, be victimized and exhibit the highest levels of imbalance in their violent involvements. Regarding competitive advantage, the number of cliques and level of internal conflict are significant. Finally, being subject to a CGI is associated with initiating violence.
Originality/value
Court cases offer a feasible alternative to police data when investigating patterns of intergroup street gang violence.