Geography and Sentencing: Does Country of Citizenship Influence Sentence Longevity?

Contentious debates on immigrants in the United States has led to growing interest in their treatment in the criminal justice system. Much of what is known, however, springs from research that treats immigrants as a homogeneous group. The lumping of all immigrants into one category potentially mask variances in sentencing based on national origins. The current study disaggregates federal sentencing data to explore whether length of sentence differs by the defendants' geographical region of citizenship. After controlling for a number of legal and extra-legal factors, sentences imposed upon Mexican citizens were found to be longer than sentences meted out to defendants who are citizens of other countries. Evidence suggesting that national origin has a stronger influence on sentence length than race/ethnicity and legal status was also detected. Implications of the findings and directions for future research are discussed

U.S. Territorial Exclusion in Federal Sentencing Research: Can it be Justified?

There is a dearth of knowledge on sentencing process and outcomes in Guam, the Northern Mariana Islands, Puerto Rico and the United States Virgin Islands. It is not uncommon for researchers conducting national studies to intentionally exclude data from these American territories. Their actions have been justified on the grounds that territories have "distinctive" characteristics that warrant exclusion. Using federal sentencing data, this study explores whether the sentencing patterns observed in the territories are as "unique" as scholars assume and if so, in what ways and to what extent. Descriptive analysis reveals that attributes of offenders and case processing strategies are similar across the U.S. mainland and its territories. Although multivariate analysis revealed some notable differences (e.g., territories are more punitive than states) the larger finding is that there are more similarities than differences with regards to the processing of cases and outcomes. Implications of the study and directions for future research are discussed

Examining the Effects of Perceptions of Voter Suppression and Voter Fraud on Support for Voter Identification Laws in the United States

Democracy is fundamentally grounded in the people's right to vote, but what happens when the same mechanisms meant to protect the electoral process become barriers? This study examined the relationship between perceptions of voter suppression and voter fraud and support for voter restrictions, such as requiring identification to vote. The study utilized data from the American National Election Studies 2020 Times Series Study, examining a sample of 5,264 voters. Results revealed that voter support for voter ID laws depends on their perceptions of voter integrity and suppression. The more confidence voters have in the integrity of elections and the more they believe in voter suppression, the less likely they are to support voter identification requirements. Other demographic factors are considered

Exploring the interpersonal-, organization-, and system-level factors that influence the implementation and use of an innovation-synoptic reporting-in cancer care

<p>Abstract</p> <p>Background</p> <p>The dominant method of reporting findings from diagnostic and surgical procedures is the narrative report. In cancer care, this report inconsistently provides the information required to understand the cancer and make informed patient care decisions. Another method of reporting, the synoptic report, captures specific data items in a structured manner and contains only items critical for patient care. Research demonstrates that synoptic reports vastly improve the quality of reporting. However, synoptic reporting represents a complex innovation in cancer care, with implementation and use requiring fundamental shifts in physician behaviour and practice, and support from the organization and larger system. The objective of this study is to examine the key interpersonal, organizational, and system-level factors that influence the implementation and use of synoptic reporting in cancer care.</p> <p>Methods</p> <p>This study involves three initiatives in Nova Scotia, Canada, that have implemented synoptic reporting within their departments/programs. Case study methodology will be used to study these initiatives (the cases) in-depth, explore which factors were barriers or facilitators of implementation and use, examine relationships amongst factors, and uncover which factors appear to be similar and distinct across cases. The cases were selected as they converge and differ with respect to factors that are likely to influence the implementation and use of an innovation in practice. Data will be collected through in-depth interviews, document analysis, observation of training sessions, and examination/use of the synoptic reporting tools. An audit will be performed to determine/quantify use. Analysis will involve production of a case record/history for each case, in-depth analysis of each case, and cross-case analysis, where findings will be compared and contrasted across cases to develop theoretically informed, generalisable knowledge that can be applied to other settings/contexts. Ethical approval was granted for this study.</p> <p>Discussion</p> <p>This study will contribute to our knowledge base on the multi-level factors, and the relationships amongst factors in specific contexts, that influence implementation and use of innovations such as synoptic reporting in healthcare. Such knowledge is critical to improving our understanding of implementation processes in clinical settings, and to helping researchers, clinicians, and managers/administrators develop and implement ways to more effectively integrate innovations into routine clinical care.</p

Localization of type 1 diabetes susceptibility to the MHC class I genes HLA-B and HLA-A

The major histocompatibility complex (MHC) on chromosome 6 is associated with susceptibility to more common diseases than any other region of the human genome, including almost all disorders classified as autoimmune. In type 1 diabetes the major genetic susceptibility determinants have been mapped to the MHC class II genes HLA-DQB1 and HLA-DRB1 (refs 1-3), but these genes cannot completely explain the association between type 1 diabetes and the MHC region. Owing to the region's extreme gene density, the multiplicity of disease-associated alleles, strong associations between alleles, limited genotyping capability, and inadequate statistical approaches and sample sizes, which, and how many, loci within the MHC determine susceptibility remains unclear. Here, in several large type 1 diabetes data sets, we analyse a combined total of 1,729 polymorphisms, and apply statistical methods - recursive partitioning and regression - to pinpoint disease susceptibility to the MHC class I genes HLA-B and HLA-A (risk ratios >1.5; Pcombined = 2.01 × 10-19 and 2.35 × 10-13, respectively) in addition to the established associations of the MHC class II genes. Other loci with smaller and/or rarer effects might also be involved, but to find these, future searches must take into account both the HLA class II and class I genes and use even larger samples. Taken together with previous studies, we conclude that MHC-class-I-mediated events, principally involving HLA-B*39, contribute to the aetiology of type 1 diabetes. ©2007 Nature Publishing Group

College student perceptions of system-culpability in the frequency of wrongful convictions: gauging the importance of respondent characteristics

We examined the influence of survey respondent characteristic on perceptions of the culpability of criminal justice actors, contamination of forensic evidence, and mistaken eyewitness testimony in the frequency of wrongful convictions

Gauging support for the death penalty in cases of sexual assault: the interplay between respondent characteristics and victim age

We extend this line of inquiry by asking survey respondents to indicate their support for application of the death penalty in cases of rape/sexual assault across multiple victim age categories. Logistic regression is used