You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
In Recasting Welfare Capitalism, Mark Vail employs a sophisticated and original theoretical approach to compare welfare states and political-economic adjustment in Germany and France. He examines how and why institutional change takes place and what factors characterize economic evolution when moving from times of prosperity to more austere periods and back again. Covering the 1970s to the present, Vail analyzes social and economic reforms, including labor policy, social-insurance, and anti-poverty programs. He focuses on the tactics and actions of key political players, and demolishes the stagnation argument that suggests that France and Germany have largely frozen political economies, incapable of reform. Vail finds that these respective evolutions involve interrelated changes in social and economic policies and are characterized by political relationships that are continuously renegotiated—often in unpredictable ways. In the process, he presents a compelling reconceptualization of change in both the welfare state and the broader political economy during an age of globalization.
Theories and methods for analyzing multimodal relations connecting political entities, including voters, politicians, parties, events, and nations.
Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to tell a compelling story with data science using Spark's ecosystem Explore data at scale and work with cutting edge data science methods Who This Book Is For This book is for those who have beginner-level familiarity with the Spark architecture and data science applications, especially those who are looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning methods, and pop...
None
Breast cancer is one of the most commonly diagnosed cancers and a leading cause of death for women worldwide. With advances in molecular engineering in the 1980s, hopes began to rise that a non-toxic and non-invasive treatment for breast cancer could be developed. These hopes were stoked by the researchers, biotech companies, and analysts who worked to make sense of the uncertainties during product development. In Making Sense Sophie Mützel traces this emergence of "innovative breast cancer therapeutics" from the late 1980s up to 2010, through the lens of the narratives of the involved actors. Combining theories of economic and cultural sociology, Mützel shows how stories are integral for ...
Existing research papers do not have complete information in depth about the Semantic AI in Knowledge Graphs. This book has all the basic information required to gain in-depth knowledge of this field. Covers neuro-symbolic AI, explainable AI and deep learning to knowledge discover and mining, and knowledge representation and reasoning.
Modern China in Flux heralds a transformative epoch in historical research, spotlighting the innovative methodology of network analysis. As the digital age unfolds, historians encounter both an unparalleled opportunity and a daunting challenge: navigating the vast digital repositories of historical data. Central to this volume’s discourse is the imperative for a methodological shift in examining modern China's historical research. By embracing the digital evolution, this volume highlights the promise of network analysis as a model for historians. Modern China, rich in tales of socio-political upheavals, economic transformations, and cultural shifts, emerges as a nuanced tapestry of intertw...