Judicial Narratives of Ideal and Deviant Victims in Judges’ Capital Sentencing Decisions

Although the Victim’s Rights Movement has led to advances for victims of crime, the use of victim impact evidence in criminal trials remains controversial due to the suspicion that such evidence enhances punitive attitudes and arbitrariness in capital sentencing outcomes. Despite a growing body of literature in this area, it remains unclear if some victims are viewed more favorably than others, particularly from the perspective of judges. The current study examines the construction of victims by judges in capital cases and how this portrayal impacts sentencing outcomes in Delaware, which vests the final capital sentencing authority in judges rather than juries. In examining this gap in the literature, we consider if judges make distinctions between ideal and deviant victims, if these distinctions are associated with victim and offender characteristics, and if the construction of victims impacts offender sentencing. Findings from this study lend support to the idea that judges describe some victims as more “worthy” than others, that victims described in ideal ways are more likely to be white and female, and that “ideal victims” are more likely to result in death sentences.     

A Radiographic Study on the Utility of Cranial Vault Outlines for Positive Identifications

A standard method for positive identification is the use of antemortem and postmortem radiographic comparisons. The purpose of this research is to test the visual accuracy of antemortem and postmortem radiographic comparisons of cranial vault outlines and to evaluate their uniqueness using geometric morphometric methods. A sample of 106 individuals with varying levels of education and forensic case experience participated in a visual accuracy test. Of the 106 individuals, only 42% correctly assigned all of the radiographs, with accuracy rates ranging from 70 to 93% for each radiographic comparison. Vault shape was further examined using elliptic Fourier analysis, and paired t‐tests were computed on the first 10 principal components accounting for 100% of the variance, which found no significant differences. The visual accuracy test and elliptic Fourier analysis shows that vault outlines may not be unique enough for positive identifications when used as a sole indicator.     

Repeat Coronary Artery Dissection in Pregnancy: A Case Report and Review of the Literature

Non‐atherosclerotic spontaneous coronary artery dissection (NA‐SCAD) is a rare cause of morbidity and mortality with a propensity for young, healthy, and often peripartum women. NA‐SCAD etiology is poorly understood, with possible hormonal and hereditary mechanisms. Current treatment strategies range from conservative management (often showing resolution on angiographic follow‐up) to invasive angiographic procedures. Rarely, NA‐SCAD has recurred in another coronary artery, ranging hours to years later. We report NA‐SCAD of the right coronary artery (RCA) in a 30‐year old, 3‐month postpartum female with an additional autopsy finding of remote myocardial infarction (MI) in the left anterior descending (LAD) coronary artery territory. The remote MI is consistent with prior NA‐SCAD of the LAD and, given the medical history, may have occurred in the peripartum period of the decedent first pregnancy 3 years earlier. As such, to the best of our knowledge, this may represent the first reported case of NA‐SCAD recurrence in a subsequent pregnancy.     

The Burglary Boost: A Note on Detecting Contagion Using the Knox Test

Objectives

A large body of literature in quantitative criminology finds that the spatio-temporal clustering of burglary is greater than one would expect from chance alone. This suggests that such crimes may exhibit a “boost” effect, wherein each burglary increases the risk to nearby locations for a short period. In this study, we demonstrate that standard tests for spatio-temporal dependence have difficulty distinguishing between clustering caused by contagion and that caused by changing relative risks. Therefore, any estimates of the boost effect drawn from these tests alone will be upwardly biased.

Methods

We construct an agent-based model to generate simulated burglary data, and explore whether the Knox test can reliably distinguish between contagion (one burglary increases the likelihood of another burglary nearby) and changes in risk (one area gets safer while another gets more dangerous). Incorporating insights from this exercise, we analyze a decade of data on burglary events from Washington, DC.

Results

We find that (1) absent contagion, exogenous changes in relative risk can be sufficient to produce statistically significant Knox ratios, (2) if risk is changing over time, estimated Knox ratios are sensitive to one’s choice of time window, and (3) Knox ratios estimated from Washington, DC burglary data are sensitive to one’s choice of time window, suggesting that long-run changes in relative risk are, in part, driving empirical estimates of burglary’s boost effect.

Conclusions

Researchers testing for contagion in empirical time series should take precautions to distinguish true contagion from exogenous changes in relative risks. Adjusting the time window of analysis is a useful robustness check, and future studies should be supplemented with new approaches like agent-based modeling or spatial econometric methods.