Prize Essay On The Best Means Of Employing The Surplus Funds Of The Amalgamated Society Of Engineers C In Associative Or Other Productive Objects

This book contains a number of papers presented at a workshop organised by the World Bank in 1997 on the theme of 'Social Capital: Integrating the Economist's and the Sociologist's Perspectives'. The concept of 'social capital' is considered through a number of theoretical and empirical studies which discuss its analytical foundations, as well as institutional and statistical analyses of the concept. It includes the classic 1987 article by the late James Coleman, 'Social Capital in the Creation of Human Capital', which formed the basis for the development of social capital as an organising concept in the social sciences.

Leading sociologist examines how different readings of class enrich our understanding of capitalism Few ideas are more contested today than “class.” Some have declared its death, while others insist on its centrality to contemporary capitalism. It is said its relevance is limited to explaining individuals’ economic conditions and opportunities, while at the same time argued that it is a structural feature of macro-power relations. In Understanding Class, leading left sociologist Erik Olin Wright interrogates the divergent meanings of this fundamental concept in order to develop a more integrated framework of class analysis. Beginning with the treatment of class in Marx and Weber, proceeding through the writings of Charles Tilly, Thomas Piketty, Guy Standing, and others, and finally examining how class struggle and class compromise play out in contemporary society, Understanding Class provides a compelling view of how to think about the complexity of class in the world today.

Challenging the popular myth of a present-day 'information revolution', Media Technology and Society is essential reading for anyone interested in the social impact of technological change. Winston argues that the development of new media forms, from the telegraph and the telephone to computers, satellite and virtual reality, is the product of a constant play-off between social necessity and suppression: the unwritten law by which new technologies are introduced into society only insofar as their disruptive potential is limited.

Although the body has been the focus of much contemporary cultural theory, the models that are typically applied neglect the most salient characteristics of embodied existence—movement, affect, and sensation—in favor of concepts derived from linguistic theory. In Parables for the Virtual Brian Massumi views the body and media such as television, film, and the Internet, as cultural formations that operate on multiple registers of sensation beyond the reach of the reading techniques founded on the standard rhetorical and semiotic models. Renewing and assessing William James's radical empiricism and Henri Bergson's philosophy of perception through the filter of the post-war French philosophy of Deleuze, Guattari, and Foucault, Massumi links a cultural logic of variation to questions of movement, affect, and sensation. If such concepts are as fundamental as signs and significations, he argues, then a new set of theoretical issues appear, and with them potential new paths for the wedding of scientific and cultural theory. Replacing the traditional opposition of literal and figural with new distinctions between stasis and motion and between actual and virtual, Parables for the Virtual tackles related theoretical issues by applying them to cultural mediums as diverse as architecture, body art, the digital art of Stelarc, and Ronald Reagan's acting career. The result is an intriguing combination of cultural theory, science, and philosophy that asserts itself in a crystalline and multi-faceted argument.

LARGE PRINT EDITION! More at LargePrintLiberty.com This collection of essays was originally published in 1891 in response to a collection of Fabian Essays on Socialism which advocated policies which would eventually lead to the modern welfare state. The theoretical and empirical contributions are fine examples of the classical liberal tradition in British thought.

Fourteen authors, including many of the best-known scholars in the field, explore how people actually experience their culture and how those experiences are expressed in forms as varied as narrative, literary work, theater, carnival, ritual, reminiscence, and life review. Their studies will be of special interest for anyone working in anthropological theory, symbolic anthropology, and contemporary social and cultural anthropology, and useful as well for other social scientists, folklorists, literary theorists, and philosophers.

This book maps the process and political economy of policy making in Africa. It's focus on trade and industrial policy makes it unique and it will appeal to students and academics in economics, political economy, political science and African studies. Detailed case studies help the reader to understand how the process and motivation behind policy decisions can vary from country to country depending on the form of government, ethnicity and nationality and other social factors.

After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algorithmic technologies are deployed for identifying potential terrorists through vast surveillance networks, for producing sentencing guidelines and recidivism risk profiles in criminal justice systems, for demographic and psychographic targeting of bodies for advertising or propaganda, and more generally for automating the analysis of language, text, and images. Against this background, the aim of this book is to discuss the heterogenous conditions, implications, and effects of modern AI and Internet technologies in terms of their political dimension: What does it mean to critically investigate efforts of net politics in the age of machine learning algorithms?