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This books reviews forms of capital 'popular finance' and argues that it is important, as a site at which capital is visible not as a macro-structural reality but as a category itself, which needs to be made and performed in the spaces where is does not already exist. 'Culture' is used to intervene into everyday spaces to develop capital there.
Sheppard explores Mexico’s profound political, social, and economic changes through the lens of the persistent political power of Mexican revolutionary nationalism. By examining the major events and transformations in Mexico since 1968, he shows how historical myths such as the Mexican Revolution, Benito Juárez, and Emiliano Zapata as well as Catholic nationalism emerged during historical-commemoration ceremonies, in popular social and anti-neoliberal protest movements, and in debates between commentators, politicians, and intellectuals. Sheppard provides a new understanding of developments in Mexico since 1968 by placing these events in their historical context. The work further contributes to understandings of nationalism more generally by showing how revolutionary nationalism in Mexico functioned during a process of state dismantling rather than state building, and it shows how nationalism could serve as a powerful tool for non-elites to challenge the actions of those in power or to justify new citizenship rights as well as for elites seeking to ensure political stability.
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This book provides an overview of qualitative research models and their applications in organization and management studies. Focusing on the philosophical underpinnings and practical implications of diverse qualitative methods, this comprehensive text offers a guided tour of the options available to qualitative researchers, highlighting aspects of research design, execution, and analysis in each tradition. In clear, readable prose, the author offers insight into the ambiguities, tensions, and interconnections of diverse qualitative research traditions without resorting to oversimplification. The book’s four main sections include examples and applications specifically designed for the field...
Research in Artificial Intelligence (AI) is not new, it has been around since 1950’s. AI resurfaced at that time while Moore’s law was on an aggressive path of scaling, with the transformation of NMOS and later bipolar technology to CMOS for high performance, low power as well as low cost applications.Several breakthroughs in the electronics industry helped to push Moore’s law in chip miniaturization along with increased computing power (parallel and distributed processing) and memory bandwidth. Once this paradigm shift occurred it naturally opened doors for AI as it required big data manipulations, and thus AI could thrive again. AI has already shown success in industries such as fina...