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This chapter discusses the experiences of black men who encounter the phenomena of a mental health diagnosis, detention and death in a forensic setting in England. Although there are black women with mental health issues who have also died in forensic settings, the occurrence is significantly higher for men who become demonised as ‘Big, Black, Bad and dangerous’. The author discusses the historical over representation of mental ill health amongst black people in the general community and the plethora or reasons attributed to this. The author then discusses the various points of entry into the criminal justice system, where black men with mental health issues are over represented. The author explores some inquiries into the deaths of black men in custody and the recommendations that were subsequently made, which successive governments have failed to act upon. The author argues that the term ‘Institutional Racism’ is insufficient to explain this phenomenon; and offers her own theoretical interpretation which is a combination of systemic racism influenced by post-colonial conceptualisation

In our paper, Randy Starr, who was found not guilty by reason of insanity for committing murder, tells his life story with my help. Our collaboration helps erase the fictitious line traditionally drawn between subject and analyst in life stories. We cover the period from his early childhood to his late twenties when he committed the homicide that led to his involuntary commitment to a state’s mental health system. In telling his life story, we vividly describe his passage through the four stages of the violentization and later descent into “self disorganization,” which is seen as a normal part of the process of dramatic self change. It is made clear by us that the severe self disorganization into which he descended did not originate independently from his violentization, but instead was a direct by-product of it. We conclude that he should have been adjudged a “disorganized dangerous violent criminal” and found “guilty, but in need of and susceptible to treatment.” A plea is made to make this verdict available to judges and juries in such cases.

The image of Mel Gibson and Hugh Jackman (as Wolverine) in the Mad Max and X-Men franchises represents traditional heroic action masculinity. This chapter explores the roles of female action heroes in defying patriarchy and subverting action film genre stereotypes in male-dominated franchises. In contrast to past characterisations of Max, Mad Max: Fury Road (2015) provides both a departure to the role of Max as the male saviour seeking vengeance, by focusing on Imperator Furiosa and offering space for a portrayal of femininity characterised by inclusivity and tolerance. In Logan (2017), the decay of Wolverine is central to the narrative. Rather than the portrayal of an immortal hypermasculine hero in the previous X-Men films (with emphasis on men in X-Men), a new female mutant Laura assumes his mantle. In this context, I consider the gender roles and depiction of women in these films, and how they may be read as offering a futuristic vision of utopia in dystopian narrative worlds.

In the distant future, the social and economic systems build by the patriarchy are crumbling, causing an environmental crisis and divisive society, where people who are different (mutants) are hunted down. Mad Max: Fury Road and Logan both offer an alternative depiction of women and girls, providing new perspectives to navigate an uncertain dystopian world through fierce female warriors Furiosa, and mutant girl Laura. Ultimately this chapter demonstrates that survival in the post-apocalyptic and dystopian worlds represented in Mad Max: Fury Road and Logan may be achieved via a subversive feminist solution/utopia to the crisis of masculinity.

While Big Data offer marketing managers information that is high in volume, variety, velocity, and veracity (the 4Vs), these features wouldn’t necessarily improve their decision-making. Managers would still be vulnerable to confirmation bias, control illusions, communication problems, and confidence issues (the 4Cs). The authors argue that traditional remedies for such biases don’t go far enough and propose a lean start-up approach to data-based learning in marketing management. Specifically, they focus on the marketing analytics component of Big Data and how adaptations of the lean start-up methodology can be used in some combination with such analytics to help marketing managers improve their decision-making and innovation process. Beyond the often discussed technical obstacles and operational costs associated with handling Big Data, this chapter contributes by analyzing the various learning and decision-making problems that can emerge once the 4Vs of Big Data have materialized.

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.