Leeds Trinity University

Research @Leeds Trinity University
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    3982 research outputs found

    Is the police service still a long-term career choice?: Perspectives of new recruits

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    Purpose: This article is timely due to the current high attrition of officers (National Police Chiefs Council, 2023) and will explore the literature surrounding retention and attrition of officers, the impact of this on trust and confidence, and the need to understand the reasons why officers join the service coupled with their expectations of the police as a long-term career (>10 years).Design/methodology/approach - This research will describe a study using a survey that examined views of 120 new recruits from 3 UK police forces on why they joined the service.Findings - It notes that many still see the police service as a long-term career and indicate little intention of leaving, raising further questions surrounding the reasons for the current high attrition rates. It concludes with where police forces could focus to improve retention, suggesting some reasons for the attrition such as low job satisfaction, poor welfare and organisation culture, and some practical suggestions as to where police forces could focus to improve retention.Research limitations/implications -Albeit this research was sent to a small sample (n = 127) and did not address shift work issues or welfare support, it will serve as a foundational pilot. The research initial findings can inform future studies with more detailed analyses and targeted strategies to enhance officer retention and public trust in the police force.Practical implications: The research aims to provide insights into how recruitment motivations and job satisfaction impact long-term retention.Social implications: This research highlights the significance of examining the reasons for new recruits joining the service, and of implementing retention strategies prioritising stability, officer support, and community engagement to cultivate a trusting relationship between the police and the public.Originality/valueThis study was designed to examine if current new police officers still view the police as a long-term career choice and to identify if their reasons for joining the service have changed with the current political climate of policing in the UK

    Foreword

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    Improved Gaussian mixture model and Gaussian mixture regression for learning from demonstration based on Gaussian noise scattering

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    Learning from Demonstration (LfD) is an effectual approach for robots to acquire new skills by implementing intuitive learning through imitating human demonstration. As one of the mainstream learning models for LfD, Gaussian mixture modeling (GMM) and Gaussian mixture regression (GMR) exhibit the advantages of ease of use and robust learning capabilities. To further improve the learning and regression performance of GMM/GMR, in this paper, improved GMM/GMR based on a Gaussian noise scattering strategy is designed. The main contributions of this study include: 1) the Gaussian noise scattering strategy is developed to eliminate the requirement of creating multiple demonstrations and overcome the jitter and sharp-turning defects of the demonstration; 2) based on a new evaluation criterion IBF and the sparrow search algorithm (SSA), GMM/GMR is optimized to achieve the balance of feature retention of the demonstration and the smoothness of the reproduced solution. Experimental results show that with the Gaussian noise scattering strategy, the geometric similarity of the reproduced solution and the demonstration increased for approximately 33.16 %, and the smoothness improved for 19.83 %. The challenges of underfitting and overfitting in GMM/GMR were effectively mitigated after incorporating the evaluation criterion IBF and leveraging SSA. This demonstrates the potential applicability of the improved GMM/GMR in practical industrial scenarios

    Desistance habitus:strategically using experience in action

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    This article builds on the concept of Street and Carceral Habitus and Capital and introduces the forward-thinking concept of Desistance Capital. This takes place through an auto ethnographical embodied experience of navigating both persistent criminality and the revolving door of incarceration. The auto-ethnographical analysis is posited within Bourdieu’s conceptual frameworks of Habitus, Capital, Field, and Doxa. It is argued through lived experience that these constructs provide an innovative approach to explore how legitimacy is obtained as capital within the relational dynamic between those involved in the criminal justice system and professionals who have been exposed to similar lived experiences of crime and punishment. This method of analysis is lacking within the limited criminological investigation that has taken place on peer mentors. The conclusion is that both street and carceral experiences can generate legitimacy and credibility as Desistance Capital by professionals with both street and carceral habitus

    Sources and evidence

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    Unveiling the predictors and outcomes of TikTok addiction:the moderating role of parasocial relationships

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    Purpose: Technology addiction is an increasingly severe problem. TikTok has become increasingly popular recently, and its addiction is also a major concern. This study aims to examine the antecedents and outcomes of TikTok addiction. Design/methodology/approach: The authors collect 579 data from Chinese users using an online survey. The authors use structural equation modeling with partial least squares (PLS-SEM) to analyze data and test hypotheses. Findings: The results illustrate that perceived enjoyment, social relationship, utilitarian need and social influence positively affect TikTok addiction. Both social anxiety and loneliness have positive effects on TikTok addiction. Moreover, parasocial relationships positively moderate the association between the antecedents of self-determination theory (SDT) (perceived enjoyment, social relationship, utilitarian needs, social influence, social anxiety and loneliness) and TikTok addiction. Meanwhile, TikTok addiction intensifies conflicts, including technology-family conflict, technology-person conflict and technology-work conflict. These conflicts reduce life satisfaction. Practical implications: It offers practical implications for preventing and avoiding TikTok addiction to create a healthy environment. Originality/value: This study is one of the few to provide a complete process of TikTok addiction. It systematically investigates the antecedents and outcomes of TikTok addiction.</p

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