Assessing the Ecological Variation in the Police Response to Hate Crime: Evidence From New York City

Eaven Holder, Logan Ledford
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Abstract

As scholarly attention toward the etiology of hate crime offending and victimization continues to grow, there remain some empirical gaps regarding criminal justice interventions to such crimes. The lion's share of research has been focused on how agencies report bias crimes to official sources like the FBI's Uniform Crime Reporting program, but less work has been spent studying other aspects of police response like investigation or arrest. However, even less is known in whether an officer's ecological context is influential in this process despite space being vital to policing in general. To address this, we combined incident- and precinct-level data from the New York Police Department with neighborhood census information to understand if community dynamics were associated with the likelihood that a reported hate crime would be cleared through arrest. Using mixed effects models, our findings indicate some degree of clustering in hate crime clearances but that situational factors emerged with greater salience in the prediction of arrest. Supportive more so of the schema and focal concerns perspective of criminal justice processing, we offer pathways for future research and theoretical considerations.
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评估警方应对仇恨犯罪的生态差异:纽约市的证据
随着学者们对仇恨犯罪的犯罪和受害原因的关注不断增加,在对此类犯罪的刑事司法干预方面仍然存在一些经验上的空白。大部分研究都集中在各机构如何向联邦调查局统一犯罪报告计划等官方来源报告偏见犯罪,但对警方反应的其他方面(如调查或逮捕)的研究却较少。然而,尽管空间对一般警务工作至关重要,但人们对警官的生态环境是否会对这一过程产生影响却知之甚少。为了解决这个问题,我们将纽约警察局提供的事件和分局级别的数据与社区人口普查信息相结合,以了解社区动态是否与仇恨犯罪报案后通过逮捕结案的可能性有关。通过使用混合效应模型,我们的研究结果表明,仇恨犯罪案件的侦破在一定程度上具有集群性,但情景因素在逮捕预测中更为突出。我们为未来的研究和理论考虑提供了途径。
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