Transgender Victims and Offenders: Failures of the United States Criminal Justice System and the Necessity of Queer Criminology

The purpose of this article is to highlight the experiences of transgender people within the criminal justice system as both victims and offenders. We contend that queer criminology is both needed and can assist in exploring the experiences of this unique population who face discrimination within the US criminal justice system and who are often ignored within criminological research. The article will provide an overview of transgender people’s general experiences within the criminal justice system and explore influences of cultural stereotypes about transgender people by examining the cases of three transgender victims of violence—Brandon Teena, Gwen Araujo, and Cece McDonald. This article highlights the importance of concepts such as sex, gender, transpanic, transphobia, victim-blaming, and the responses by key players in the criminal justice system (police, courts, and corrections) to transgender victims and offenders.     

In Arms We Trust: the Economic and Strategic Factors Motivating China-Iran Relations

This article examines contemporary China-Iran relations, focusing on the economic and strategic ties that have helped solidify the relationship since 1979. We begin with an overview of the arms and technology transfers that mark the early years of the relationship, analyzing the benefits each side gained from these transactions. In addition to discussing the short-term financial benefits behind forging stronger ties, we examine how the regional ascent of both states has also presented several long term factors that helped motivate their cooperation. These developments shed light on the important role the U.S. has played, both in terms of where it has tried to intervene and what success it has had influencing the Sino-Iranian relationship.     

Reanalysis of the Trotter Tibia Quandary and its Continued Effect on Stature Estimation of Past‐Conflict Service Members

Forensic casework from past‐conflicts relies on the corrected historical Trotter data for stature estimation in Fordisc. For roughly 10 years’, stature estimation using this data has produced point estimates for the tibia that are on average 1.25 inches less than the other long bones. This issue was identified after applying the equations derived from Fordisc to the USS Oklahoma commingled assemblage. Reevaluation of Fordisc revealed that a correction factor of 20 mm, instead of 10 mm, was mistakenly applied to the Trotter tibia data. Historical forensic anthropology reports written at the Defense POW/MIA Accounting Agency were utilized to identify that the overcorrection is isolated to Fordisc 3 with an error rate of 5% of known antemortem statures falling outside of the prediction intervals that relied on the tibia. Further evaluation of the Oklahoma sample indicates the 10 mm correction is still producing point estimates less than the other long bones.     

The Power of Exclusion using Automated Osteometric Sorting: Pair‐Matching,

This study compares the original pair‐matching osteometric sorting model (J Forensic Sci 2003 ;48:717) against two new models providing validation and performance testing across three samples. The samples include the Forensic Data Bank, USS Oklahoma, and the osteometric sorting reference used within the Defense POW/MIA Accounting Agency. A computer science solution to generating dynamic statistical models across a commingled assemblage is presented. The issue of normality is investigated showing the relative robustness against non‐normality and a data transformation to control for normality. A case study is provided showing the relative exclusion power of all three models from an active commingled case within the Defense POW/MIA Accounting Agency. In total, 14,357,220 osteometric t‐tests were conducted. The results indicate that osteometric sorting performs as expected despite reference samples deviating from normality. The two new models outperform the original, and one of those is recommended to supersede the original for future osteometric sorting work.     

Doing Equitable Work in Inequitable Conditions: an Introduction to a Special Issue on Transformative Research Methods in Gender-Based Violence

The purpose of this special issue is to explore how researchers, evaluators, and practitioners use community-based, participatory research (CBPR) approaches to prevent gender-based violence, support survivors, and transform communities and systems. In this introduction, the editors define gender-based violence (GBV) and briefly discuss how systemic inequities exacerbate the prevalence of GBV. The authors featured in this special issue aim to dismantle these inequities by engaging in research approaches that center those who are most impacted by the social issue, ensure that community members guide the research process, build community capacity, and aim to transform oppressive conditions. The issue includes six empirical studies across the United States that cover the process and outcomes of conducting transformative CBPR. It also contains six commentaries from GBV adult practitioners and young people who provide pertinent insights on their experiences working with academic researchers and/or engaging in participatory research. The articles in this special issue cover the major themes of defining community, working in inequitable conditions, and transforming individuals and communities.     

Bringing Community Based Participatory Research to Domestic Violence Scholarship: an Online Toolkit

In the absence of ongoing involvement in the communities that are the subjects of research, even well-intentioned researchers can develop questions that are not relevant to community needs, employ methods that hurt community members, or disseminate findings in ways that are inaccessible to those most affected. Recognizing these harms, a growing number of domestic violence (DV) researchers have embraced community-based participatory research (CBPR), an approach in which researchers and community members share power at every level of the research process, co-creating knowledge that can be applied to enhance community well-being. Despite growing interest in this approach, however, there are insufficient opportunities for interested researchers to learn how to actually engage in it, especially in the DV context. To remedy this gap, the authors of this paper collaborated to develop an online toolkit for emerging researchers interested in CPBR. This brief report frames the need for CBPR in DV research using short vignettes that come from our own research experience; introduces Power Through Partnerships: A CBPR Toolkit for Domestic Violence Researchers; and presents recommendations for developing, promoting, and disseminating future CBPR research. We chose to announce the development and availability of this toolkit in an academic journal in order to highlight its scholarly and practical relevance for researcher audiences who might be less familiar with the CBPR approach.     

Use of a Social–Ecological Framework to Understand How and Under What Conditions Family Violence Exposure Affects Children’s Adjustment

The proportion of children experiencing violence in the home is disturbingly high, with many also being victims of violence outside the home. Therefore, smaller, innovative or preliminary studies were invited in order to better understand how exposure to violence across different ecologies independently or interactively influences the risk for maladaptive outcomes. This special issue is predicated on the notion that risk for maladaptive outcomes is contextualized by one’s individual traits (e.g., self-regulatory capacities), characteristics of the abuse (e.g., duration), exposure to multiple forms of violence (both within and outside the home), as well as parenting and familial resources (e.g., parents’ mental health and abuse history, familial social support). Two of the articles focus on dual victimization in the home, two address factors that modify the relation between child sexual abuse and adjustment, and the last two articles focus on mediators of the relationship between abuse or exposure to IPV and adjustment. Taken together, these articles reflect efforts at elucidating modifiable targets for prevention and intervention purposes, as well as qualities of the individual, family, or the abuse that may aid in tailoring interventions to be maximally effective.     

The place of public fear in sentencing and correctional policy

Public opinion about sentencing and correctional issues has emerged in recent decades as a salient topic in criminology. Empirical studies have suggested that the public has dynamic perceptions about these criminal justice issues. Sentencing and correctional policy have become key issues confronting legislators and policymakers, as correctional budgets and public interest in these areas have increased. Despite the focus on public opinion about sentencing and corrections, previous research has largely ignored how the public feels about the role of policymakers regarding these issues, and what influences opinions about whether public fear should be an important consideration in policy decisions. The current study partly replicated the work of Cullen and colleagues by examining perceptions of crime salience, crime causation, goals of the criminal justice system, and attitudes towards imprisonment and rehabilitation. It uniquely examined perceptions about the importance of legislator consideration of a specific determinant, namely, public fear, in decision making about sentencing and correctional policy.     

Artificial Intelligence and Technology in Teaching Negotiation

Artificial intelligence (AI), machine learning (ML), affective computing, and big‐data techniques are improving the ways that humans negotiate and learn to negotiate. These technologies, long deployed in industry and academic research, are now being adopted for educational use. We describe several systems that help human negotiators evaluate and learn from role‐play simulations as well as applications that help human instructors teach negotiators at the individual, team, and organizational levels. AI can enable the personalization of negotiation instruction, taking into consideration factors such as culture and bias. These tools will enable improvements not only in the teaching of negotiation, but also in teaching humans how to program and collaborate with technology‐based negotiation systems, including avatars and computer‐controlled negotiation agents. These advances will provide theoretical and practical insights, require serious consideration of ethical issues, and revolutionize the way we practice and teach negotiation.