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The purpose of this study was to characterize crimes of encroachment on the lives of law enforcement officers, special government agencies and military personnel in Kazakhstan from the point of view of defining the elements of the crime, criminological characteristics and foreign regulatory experience. The article used methods of statistical analysis, analogy and generalization, as well as formal legal and formal logical approaches. The study identified the features of proving this category of crimes and proposed recommendations for its improvement directly in the Republic of Kazakhstan. The features of the criminological characteristics of crimes against persons representing the authority of public authorities are highlighted, as well as recommendations for the special prevention of criminal attacks provided for in Art. 380-1 of the Criminal Code of the Republic of Kazakhstan. [ABSTRACT FROM AUTHOR]

This study assesses the effect of the #MeToo movement on the language used in judicial opinions on sexual violence related cases from 51 U.S. state and federal appellate courts. The study introduces various indicators to quantify the extent to which actors in courtrooms employ language that implicitly shifts responsibility away from the perpetrator and onto the victim. One indicator measures how frequently the victim is mentioned as the grammatical subject, as research in the field of psychology suggests that victims are assigned more blame the more often they are referred to as the grammatical subject. The other two indices designed to gauge the level of victim-blaming capture the sentiment of and the context in sentences referencing the perpetrator. Additionally, judicial opinions are transformed into bag-of-words and tf-idf vectors to facilitate the examination of the evolution of language over time. The causal effect of the #MeToo movement is estimated by means of a Difference-in-Differences approach comparing the development of the language in opinions on sexual offenses and other crimes against persons as well as a Panel Event Study approach. The results do not clearly identify a #MeToo-movement-induced change in the language in court but suggest that the movement may have accelerated the evolution of court language slightly, causing the effect to materialize with a significant time lag. Additionally, the study considers potential effect heterogeneity with respect to the judge's gender and political affiliation. The study combines causal inference with text quantification methods that are commonly used for classification as well as with indicators that rely on sentiment analysis, word embedding models and grammatical tagging. [ABSTRACT FROM AUTHOR]

This policy brief examines the issue of domestic violence, specifically focusing on male perpetrators and the need for early intervention strategies. The authors analyzed a 10-year dataset from the Calgary Police Service and found a pattern of increased criminal behavior among male perpetrators leading up to a charge in 2019. The data also showed a rise in police interventions related to domestic violence complaints during that period. The brief emphasizes the importance of working with men at risk of perpetrating violence before they commit domestic violence offenses. The Calgary Police Service is actively working to address domestic violence and reduce the trauma experienced by victims and their families. Their research agenda focuses on understanding the background and criminal history of perpetrators to identify factors associated with a higher likelihood of future charges. The goal is to develop legislation, policies, and programs that can prevent male violence before it occurs and hold both perpetrators and the systems that perpetuate misogyny accountable. [Extracted from the article]

The rise in crime against a person in rapidly growing cities poses significant risks to societies and economies, affecting both microeconomic and macroeconomic aspects. This trend could potentially deter economic performance and domestic investment. Consequently, this study aims to analyze the impact of crime against a person on domestic investment in Dubai spanning 1989–2021. Dubai is considered an emerging economy and a highly competitive global city. It is also acknowledged as one of the world's smart cities. This study employed the novel nonlinear autoregressive distributed lag (NARDL) approach to investigate the impact of both the escalation and contraction of crime against a person on domestic investment in Dubai. The findings exhibit that the fluctuation in crime against a person has an asymmetrical impact on domestic investment. In addition, estimations of the positive and negative long-run asymmetric coefficients indicate that crime against a person has a negative impact on domestic investment in Dubai. [ABSTRACT FROM AUTHOR]

The focus of the study is on types of crime and their relationship with tourism destinations and tourism support among northern tourist areas. The main objective of the study was to shed light on the types of crime and their association with tourism destinations and tourism support with the framework of the social control theoretical model (inner and outer control). Face-to-face quantitative data was collected from (n=501) respondents. The study analyzed data with partial least squares structural equation modeling (PLS-SEM version 4). The path analysis showed that crimes against persons, property, and victimless crime significantly decreased tourism support. A similar phenomenon, such as crimes against person and property, decreased tourism destinations, and victimless crime was insignificant. Based on the study's findings, the results concluded that types of crime have made unsuccessful tourism support and tourism destination in the northern region. The study put forward recommendations to policymakers that criminal activities should be controlled through crime control systems among different tourist destinations in northern areas. [ABSTRACT FROM AUTHOR]