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"This book outlines how community sentences and early release options are administered in China. Chen provides empirical insights into the emerging community sector of the Chinese penal system, and illustrates how Chinese criminal courts decide between imprisonment and community sentences. Drawing on interviews with government and non-governmental supervisors, this study offers a discussion of the enforcement of these community sanctions and measures (CSM). By using the CSM reform as an example, this book illustrates the adaptation of Chinese governance and social control. Ultimately, Chen argues that the current model of governance in China (disciplinary governance) cannot guarantee an effective state-agent relationship; it also denies local governments sufficient legitimacy to secure social stability"--Publisher's description.

At one time monitoring over 900 million people, China's health code system is arguably the most controversial invention of the pandemic. This study explores how the system emerged and its implications for security governance in urban communities. By analysing 9,533 social media posts published during three key weeks, the study revealed that early pandemic responses in China were heavily shaped by private nodes, such as estate management companies, private security guards and homeowners. Homeowners' demands for extra security clashed with migrants' and tenants' demands for mobility. The health code system was presented as a 'solution' to these conflicts. The findings of this study highlight the limitations of consumer-driven pluralisation in policing. Such pluralisation offered limited opportunities for democratisation. Instead, the radical pursuit of 'club goods' by consumer-denizens reinforced existing inequalities. Entrenched inequalities tempted marginalised social groups to accept 'indiscriminate' surveillance, which paved the way for a neo-panopticon. The study also warns against the alliance of state nodes and big-tech companies. Through collaboration, these powerful players can replace political dynamics in the community with data-driven modulation, thus destroying the foundation of nodal governance.

Mixture modeling has gained more attention among practitioners and statisticians in recent years. However, when researchers analyze their data using finite mixture model (FMM), some may assume that the units are independent of each other even though it may not always be the case. This article used simulation studies to examine the impact of ignoring a higher nesting structure in multilevel mixture models. Results indicate that the misspecification results in lower classification accuracy of individuals, less accurate fixed effect estimates, inflation of lower level variance estimates, and less accurate standard error estimates in each subpopulation, the latter result of which in turn affects the accuracy of tests of significance for the fixed effects. The magnitude of the intraclass correlation (ICC) coefficient has a substantial impact. The implication for applied researchers is that it is important to model the multilevel data structure in mixture modeling.

Social public welfare practice is an important way to realize the goal of practical education in colleges and universities. Through a survey of 439 university students in Beijing, the results in this study showed that university students' intention to participate in social public
welfare practice was influenced by perceived value, behavioral attitude, and perceived behavioral control, and was not affected by subjective norms. Behavioral attitude and perceived behavioral control played a mediating role between perceived value and intention to participate. These findings
extend the research perspective to the field of social welfare and have the potential to promote the development of social welfare practice activities for university students.