Making Sense of COMPSTAT: A Theory-Based Analysis of Organizational Change in Three Police Departments

COMPSTAT, the latest innovation in American policing, has been widely heralded as a management and technological system whose elements work together to transform police organizations radically. Skeptical observers suggest that COMPSTAT merely reinforces existing structures and practices. However, in trying to assess how much COMPSTAT has altered police organizations, research has failed to provide a broader theoretical basis for explaining how COMPSTAT operates and for understanding the implications of this reform. This article compares two different perspectives on organizations—technical/rational and institutional—to COMPSTAT's adoption and operation in three municipal police departments. Based on fieldwork, our analysis suggests that relative to technical considerations for changing each organization to improve its effectiveness, all three sites adopted COMPSTAT in response to strong institutional pressures to appear progressive and successful. Furthermore, institutional theory better explained the nature of the changes we observed under COMPSTAT than the technical/rational model. The greatest collective emphasis was on those COMPSTAT elements that were most likely to confer legitimacy, and on implementing them in ways that would minimize disruption to existing organizational routines. COMPSTAT was less successful when trying to provide a basis for rigorously assessing organizational performance, and when trying to change those structures and routines widely accepted as being "appropriate." We posit that it will take profound changes in the technical and institutional environments of American police agencies for police departments to restructure in the ways anticipated by a technically efficient COMPSTAT.     

Ultimate Legality: Reading the Community of Law

This article is a contribution to the occasional series dealing with a major book that has influenced the author. Previous contributors include Stewart Macaulay, John Griffith, William Twining, Carol Harlow, Geoffrey Bindman, Harry Arthurs, André-Jean Arnaud, Alan Hunt, Michael Adler, Lawrence O. Gostin, John P. Heinz, Roger Brownsword, Roger Cotterrell, Nicola Lacey, Carol J. Greenhouse, and David Garland. An initial twist: several acute observers would consider the way I read to be the most influential effect of reading on me – a way of reading that extends beyond the specificity of the text yet, in so doing, connects integrally with it. Salvation of specificity is at hand, however. That way of reading is intimately reflective of Derridean deconstruction and a hugely influential reading becomes his ‘Force of Law’. A problem ensues. Other influential reading came before my love of Derrida – influential reading to do with law and society (of course), with decolonization and imperialism, with engaged anthropology, and with critical legal studies. A retrospective revelation then follows. Derridean deconstruction is found to haunt and inform these other readings. They can be read in a way that inherently anticipates deconstruction. Some culminating coherence is offered by the inescapable insistence of community and the mutually intrinsic fusion of community and law.     

Estimating Individual Contributions to Complex DNA SNP Mixtures.,

High‐throughput sequencing (HTS) of large panels of single nucleotide polymorphisms (SNPs) provides an alternative or complimentary approach to short tandem repeats (STRs) panels for the analysis of complex DNA mixture forensic samples. For STRs, methods to estimate individual contribution concentrations compare capillary electrophoresis peak heights, peak areas, or HTS allele read counts within a mixture. This article introduces three approaches (mean, median, and slope methods) for estimating individual DNA contributions to forensic mixtures for HTS/massively parallel sequencing (MPS) SNP panels. For SNPs, the major:minor allele ratios or counts, unique to each contributor, were compared to estimate contributor proportion within the mixture using the mean, median, and slope intercept for these alleles. The estimates for these three methods were typically within 5% of planned experimental contributions for defined mixtures.     

Youth Adversities Amplify the Association between Adult Stressors and Chronic Inflammation in a Domain Specific Manner: Nuancing the Early Life Sensitivity Model

There is strong evidence that chronic, systemic inflammation hastens onset of the diseases of old age that ultimately lead to death. Importantly, several studies suggest that childhood adversity predicts chronic inflammation. Unfortunately, this research has been plagued by retrospective reports of childhood adversity, an absence of controls for adult stressors, and a failure to investigate various competing models of the link between childhood adversity and chronic inflammation. The present study was designed to address these limitations. Using 18 years of data collected from 413 African Americans (58% female) included in the Family and Community Health Study, hierarchical regression analyses provided support for a nuanced early life sensitivity explanation for the link between early adversity and adult chronic inflammation. Controlling for health risk behaviors and adult SES, late childhood (ages 10–12) adversity amplified the association between adult adversity (age 29) and chronic inflammation. This interaction operated in a domain-specific fashion. Harsh parenting amplified the relation between intimate partner hostility and inflammation, whereas early discrimination amplified the relation between adult discrimination and inflammation. These findings suggest that individuals may be primed to respond physiologically to adverse adult circumstances that resemble those experienced earlier in life.

     

What We Wish We Knew: Reflections of Brand-New Teaching Assistants

The learning curve on how to become a Teaching Assistant (TA) can be rather steep. In this paper, the authors explore three areas they wish they were advised in prior to beginning their teaching careers. The lessons are centered on balancing expectations and responsibilities in the following areas: 1) prioritizing their own work and research over teaching and vice versa, 2) the dual role of instructor and mentor, and 3) adapting prepared lesson plans when unexpected circumstances arise. The authors are three doctoral students in political science with approximately three years of teaching experience each. As such, they offer a unique perspective: each are settled into their position as TA but remember the challenges they faced while on the path to this role.