Seductive Solutions, Inspiration, Easy-to-Remember Phrases, and Ambiguity: Why Is the Idea of Active Ageing so Successful?

The idea of active ageing has become one of the most influential perspectives in modern gerontology, social work, and social policy. This paper discusses factors that helped to establish active ageing as a successful theoretical concept that has significantly influenced contemporary social representations of ageing and has a practical impact on social work and policy. The perspective of the philosophy of social science is employed to explain what makes the idea of active ageing so attractive despite the remaining confusions concerning what “activity‘ and “ageing actively‘ means. The paper aims to answer the following question: What makes the concept of active ageing so successful? It draws upon the work of Murray Davis and her insight into the key aspects that make sociological theory “seductive.‘ The paper analyzes in what ways the concept of active ageing fulfills the specific features that, according to Davis, determine the success of social theories. Simultaneously, the paper critically evaluates the ways the idea of active ageing is translated into ageing policy. The case of Czech Republic is used to illustrate the problematic aspect of active ageing policies as well as the specific rhetoric that makes the idea of active ageing so attractive for a broad spectrum of disciplines as well as for social policy

An Alternative Public Health Vision for a National Drug Strategy: Treatment Works

This article returns to a war waged virtually throughout this century--a war between the theories of punishment and rehabilitation in curtailing the drug epidemic. Today, the terms of the war are recast as supply-side policies based upon law enforcement; destroying crops in source countries; interdiction and increased sentencing; and demand reduction based upon prevention, education, and treatment. The war on drugs has reached a feverish pitch. New policies and statutes have tightened the grip of supply-side policies, with images of battle and hate mongering which go beyond the vilified drug lords and governments which harbor them, to the middle men, the dealers, and even the users. First this article reviews the set of current and proposed federal policies designed to punish users and to hold them strictly accountable for their addiction. Second, it proposes an alternative public health strategy for controlling the drug epidemic based upon social science research. Third, in demonstrating the efficacy and cost effectiveness of prevention and treatment, the article sets the parameters of a public health agenda in curtailing the drug epidemic

Sustainability in the boardroom: An empirical examination of Dow Jones sustainability world index leaders

In recent years, there has been a virtual explosion of interest in corporate governance. Corporate scandals and the need to protect minority shareholders' interests, for example, are some of the reasons behind the development of corporate governance codes in numerous countries and corporations. At the same time, the concepts of "sustainable development", "corporate responsibility", and "corporate citizenship" have taken root in the business world. Although an extensive body of research treats the fields of corporate governance and sustainable development separately, less attention has been paid to the interaction between both fields. This paper attempts to bridge this gap by examining how corporate governance systems are evolving in order to integrate sustainable development thinking into them. We do so by analyzing the governance systems of the 18 corporations that are leading the market sectors considered by the Dow Jones Sustainability World Index (DJSWI). We present the results of our in depth analysis of the 18 cases and propose the Sustainable Corporate Governance Model that emerges from that analysis.Corporate governance; sustainable corporate governance; sustainable enterprise; sustainable development; business in society;

The High Cost of Wisconsin's Dropout Rate

Outlines the scope of the high school dropout problem in Wisconsin and dropouts' risk of unemployment, health problems, and incarceration. Estimates costs to the state through reduced tax revenues, increased Medicaid costs, and high incarceration rates

Reading "all about" computerization: five common genres of social analysis

This paper examines unstated, but critical, social assumptions which underlie analyses of computerization. It focuses on the popular, professional and scholarly literature which claims to describe the actual nature of computerization, the character of computer use, and the social choices and changes that result from computerization. This literature can be usefully segmented five ideal type genres: utopian, anti-utopian, social realism, social theory, and analytical reduction. Each genre is characterized and illustrated. The strengths and weaknesses of each genre are described. In the 1990s, there will be a large market for social analyses of computerization. Utopian analyses are most likely to domínate the popular and professional discourse. The empirically oriented accounts of social realism, social theory and analytical reduction, are likely to be much less common and also less commonly seen and read by computer professionals and policymakers. These genres are relatively subtle, portray a more ambiguous world, and have less rhetorical power to capture the imagination of readers. Even though they are more scientific, these empirically anchored genres don't seem to appeal to many scientists and engineers. It is ironic that computing -- often portrayed as an instrument of knowledge -- is primarily the subject of discourses whose knowledge claims are most suspect. Conversely, the discourses whose claims as valid knowledge are strongest seems to have much less appeal in the mass media and technological communities

Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms

This paper studies the generalization performance of multi-class classification algorithms, for which we obtain, for the first time, a data-dependent generalization error bound with a logarithmic dependence on the class size, substantially improving the state-of-the-art linear dependence in the existing data-dependent generalization analysis. The theoretical analysis motivates us to introduce a new multi-class classification machine based on $\ell_p$-norm regularization, where the parameter $p$ controls the complexity of the corresponding bounds. We derive an efficient optimization algorithm based on Fenchel duality theory. Benchmarks on several real-world datasets show that the proposed algorithm can achieve significant accuracy gains over the state of the art