Alina Arseniev-Koehler and Jacob Gates Foster are with the Department of Sociology, University of California Los Angeles (UCLA). Vickie M. Mays is with the Department of Psychology, UCLA, and the Department of Health Policy and Management, UCLA Fielding School of Public Health, and the BRITE Center, UCLA. Kai-Wei Chang is with the Department of Computer Science, UCLA Samueli School of Engineering. Susan D. Cochran is with the Department of Epidemiology, UCLA Fielding School of Public Health, and Department of Statistics, UCLA.
Am J Public Health. 2021 Jul;111(S2):S107-S115. doi: 10.2105/AJPH.2021.306312. Epub 2021 May 13.
To investigate racial/ethnic differences in legal intervention‒related deaths using state-of-the-art topic modeling of law enforcement and coroner text summaries drawn from the 2003-2017 US National Violent Death Reporting System (NVDRS). Employing advanced topic modeling, we identified 8 topics consistent with dangerousness in death incidents in the NVDRS death narratives written by public health workers (PHWs). Using logistic regression, we then evaluated racial/ethnic differences in PHW-coded variables and narrative topics among 4981 males killed by legal intervention, while adjusting for age, county-level characteristics, and year. Black, as compared with White, decedents were younger and their deaths were less likely to include PHW-coded mental health or substance use histories, weapon use, or positive toxicology for alcohol or psychoactive drugs, but more likely to include "gangs-as-an-incident-precipitant" coding. Topic modeling revealed less frequent thematic representation of "physical aggression" or "escalation" but more of "gangs or criminal networks" among Black versus White decedents. While Black males were more likely to be victims of legal intervention deaths, PHW-coded variables in the NVDRS and death narratives suggest lower threat profiles among Black versus similar White decedents. The source of this greater risk remains undetermined.
利用执法和验尸官文本摘要的最先进主题建模技术,从 2003 年至 2017 年的美国国家暴力死亡报告系统(NVDRS)中调查与法律干预相关的死亡的种族/民族差异。我们采用先进的主题建模技术,从 NVDRS 公共卫生工作者(PHW)撰写的死亡叙述中确定了 8 个与死亡事件中的危险性一致的主题。然后,我们使用逻辑回归评估了 4981 名男性在法律干预下被杀的 PHW 编码变量和叙述主题中的种族/民族差异,同时调整了年龄、县级特征和年份。与白人死者相比,黑人死者年龄更小,其死亡事件中 PHW 编码的心理健康或药物使用史、武器使用或酒精或精神药物阳性毒理学的可能性较小,但更有可能包括“以帮派为事件诱因”的编码。主题建模显示,黑人死者中“身体攻击”或“升级”的主题出现频率较低,但“帮派或犯罪网络”的主题出现频率较高。尽管黑人男性更有可能成为法律干预死亡的受害者,但 NVDRS 中的 PHW 编码变量和死亡叙述表明,黑人与类似的白人死者相比,威胁程度较低。这种更大风险的来源尚不确定。