The UAW's Southern Gamble is the first in-depth assessment of the United Auto Workers' efforts to organize foreign vehicle plants (Daimler-Chrysler, Mercedes-Benz, Nissan, and Volkswagen) in the American South since 1989, an era when union membership declined precipitously. Stephen J. Silvia chronicles transnational union cooperation between the UAW and its counterparts in Brazil, France, Germany, and Japan and documents the development of employer strategies that have proven increasingly effective at thwarting unionization. Silvia shows that when organizing, unions must now fight on three fronts: at the worksite; in the corporate boardroom; and in the political realm. The UAW's Southern Gamble makes clear that the UAW's failed campaigns in the South can teach hard-won lessons about challenging the structural and legal roadblocks to union participation and effectively organizing workers within and beyond the auto industry.
Informed by the thought of Pierre Bourdieu and framed by the philosophy of harm reduction, Habitus and Drug Using Environments provides a sociological analysis of public environments affected by injecting drug use. Drawing on ethnographic research across several locations, this book offers a qualitative and phenomenological account of the social organisation of public settings used for the preparation and administration of illicit drugs, informed by interviews with both injecting drug users and those whose employment is directly affected by public injecting drug use. With attention to current policy-related questions concerning the lived experience of ’place’ upon the health of injecting drug users, how wider social structures contribute to participation in public injecting and the manner in which participation in public injecting amplifies drug-related harm, Habitus and Drug Using Environments sheds light on the ways in which health and place interact to produce and reproduce already established hazards associated with injecting drug use. As such, it will be of interest to sociologists, geographers, criminologists and policy makers working in fields such as drug use, risk behaviours and their relation to place, and health studies.
Understanding how theory informs social work practice is an area that students can often find challenging. This book will help students understand how theory impacts and informs social work practice across a range of contexts and with different service user groups. It starts off by briefly setting the context, introducing students to the importance of social work theory and its development over the years, before moving on to look at different types of theory across 17 tightly structured chapters. These cover a range of psychological theories, sociological theories, ethics and moral philosophies, political theories and ideologies, and organisational theories.
Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online networking communities such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.
Kickstart your research with this practical, bestselling guide to doing social network analysis. Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals. Supporting you step-by-step through the entire research process, from design and data collection to coding, visualisation, and analysis, the book also offers: • Case studies and examples using real data • Exercises drawn from the authors’ decades of teaching experience • Online access to datasets, worked examples and a software manual to help you practice your skills. Whether you are new to social network analysis or an experienced researcher, this approachable book is your technical toolbox and research companion all in one.
This book presents an ethnographic perspective on the intersection of humor, identity, and belonging. Based on recorded interactions between Americans and Japanese, it explores how beliefs and stereotypes surrounding gaijin ‘foreigner’ identities create various types of humor such as mockery, sarcasm, and conversational jokes. Through this analysis, the study also discusses how identity-focused humor impacts participants’ understandings of interculturality and social belonging. In particular, it argues that while "being an outsider" can be marginalizing, humor allows cultural differences to become a basis for developing inclusion and social unity, in part through the recognition of shared norms and values.
Earth is the only planet known to have fire. The reason is both simple and profound: fire exists because Earth is the only planet to possess life as we know it. Fire is an expression of life on Earth and an index of life’s history. Few processes are as integral, unique, or ancient. Fire on Earth puts fire in its rightful place as an integral part of the study of geology, biology, human history, physics, and global chemistry. Fire is ubiquitous in various forms throughout Earth, and belongs as part of formal inquiries about our world. In recent years fire literature has multiplied exponentially; dedicated journals exist and half a dozen international conferences are held annually. A host of formal sciences, or programs announcing interdisciplinary intentions, are willing to consider fire. Wildfire also appears routinely in media reporting. This full-colour text, containing over 250 illustrations of fire in all contexts, is designed to provide a synthesis of contemporary thinking; bringing together the most powerful concepts and disciplinary voices to examine, in an international setting, why planetary fire exists, how it works, and why it looks the way it does today. Students, lecturers, researchers and professionals interested in the physical, ecological and historical characteristics of fire will find this book, and accompanying web-based material, essential reading for undergraduate and postgraduate courses in all related disciplines, for general interest and for providing an interdisciplinary foundation for further study. A comprehensive approach to the history, behaviour and ecological effects of fire on earth Timely introduction to this important subject, with relevance for global climate change, biodiversity loss and the evolution of human culture. Provides a foundation for the interdisciplinary field of Fire Research Authored by an international team of leading experts in the field Associated website provides additional resources
By its size, fire intensity, and institutional responses, California has long shaped the national agenda for wildland fire. From its early days, California decided for fire suppression. How and why this happened is the subject of this fire reconnaissance of America's Golden State for fire"--Provided by publisher.
This comprehensive guide to assessment in early childhood special education offers a macro- and micro-level understanding of the essential processes and activities relevant to the assessment of young children at risk of, or having, developmental delays or disabilities. The book provides insights into the laws, regulations, processes, culturally and contextually relevant practices, and requirements that practitioners need to follow when engaged in assessment, in addition to an extensive overview of current and time-tested assessment tools designed for use by early childhood educators when evaluating young children with developmental challenges. It provides immediate guidance and support to a wide range of individuals engaged in service to young children who may have, or are already identified as having, a disability. Assessment in Early Childhood Special Education is an essential text for pre-service early childhood special educators as well as current practitioners, including day care teachers (homebased and center-based), certified early childhood special educators, and general education kindergarten through second grade teachers. It should be on the desk of every early childhood educator who works with children who may be, or have been, identified as being at risk, developmentally delayed, or disabled.
This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks.
A BRIEF HISTORY OF Ancient Greek Attested since the fourteenth century BC, and still spoken today by over 10 million people, Greek has been one of the most influential languages in human history. English, Spanish, French, Russian, and Arabic are among the many languages to have borrowed key terms and concepts from Greek. A Brief History of Ancient Greek takes the reader through the history of this ancient language from its Indo-European beginnings right up to the present day, and explains key relationships between the language and literature of the Classical period (500–300 bc). The development of the language is also related to the social and political context, in line with modern sociolinguistic thought. The book reflects the latest scholarship on subjects such as koine Greek, and the relationship between literary and vernacular Greek. All Greek is transliterated and translated where appropriate, so that the text is accessible to readers who know little or no Greek, including scholars and students who require an accessible overview of the history of the language, or linguists and professionals who need a quick source of data and background information.
This book presents an ethnographic perspective on the intersection of humor, identity, and belonging. Based on recorded interactions between Americans and Japanese, it explores how beliefs and stereotypes surrounding gaijin ‘foreigner’ identities create various types of humor such as mockery, sarcasm, and conversational jokes. Through this analysis, the study also discusses how identity-focused humor impacts participants’ understandings of interculturality and social belonging. In particular, it argues that while "being an outsider" can be marginalizing, humor allows cultural differences to become a basis for developing inclusion and social unity, in part through the recognition of shared norms and values.
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