Sport and globalization: transnational dimensions

Abstract The aims of this special issue are to both raise the social scientific status of sport and to advance understanding of transnational processes through the role of sport in global change. The Introduction argues that sport, like globalization, can be understood in transdisciplinary terms, and the papers included contributions informed by sociology, anthropology, political sciences and history. As well as placing the issue in the context of recent studies of sport and globalization, the Introduction outlines the seven papers. Placed together they move from analyses of broader globalizing and multi‐sport issues towards consideration of how transnational processes impact upon individual sports – with examples from cricket, baseball and association football – ending with regional and national dimensions.     

Degeneracy in the Maximum Likelihood Estimation of Univariate Gaussian Mixtures for Grouped Data and Behaviour of the EM Algorithm

Abstract.  In the context of the univariate Gaussian mixture with grouped data, it is shown that the global maximum of the likelihood may correspond to a situation where a Dirac lies in any non-empty interval. Existence of a domain of attraction near such a maximizer is discussed and we establish that the expectation-maximization (EM) iterates move extremely slowly inside this domain. These theoretical results are illustrated both by some Monte-Carlo experiments and by a real data set. To help practitioners identify and discard these potentially dangerous degenerate maximizers, a specific stopping rule for EM is proposed.     

论康有为欧洲历史研究的类比法

康有为不仅是一个思想家、政治家 ,而且是一位历史学家 ;他不仅有研究中国历史的著作 ,也对世界其他国家的历史进行了阐述。他研究欧洲特别是德国的历史采用了“类比法”,将中国历史的观点和尺度应用于研究外国历史 ,使欧洲、德国等的历史发展成为中国的“镜子”,以呼唤国人学习西方 ,进行改革 ,选择君主立宪的制度。从历史学的角度 ,康氏的历史类比法虽然只涉及到表层现象 ,但作为历史研究从传统到现在的过渡 ,已反映出由旧到新的历史写作形式的转轨。这种新世界历史观 ,不再被视为一种不断循环的历史倒退论 ,而是一种革命性的进步。     

Recovering the social: globalization,football and transnationalism

Abstract In this article, we place the social and football (as a sporting realm) at the heart of social scientific analysis of globalization processes. Our theoretical framework sets out, in turn, the concepts of glocalization, with particular reference to what we term the ‘duality of glocality’; transnationalism, notably its socio‐historical aspects; connectivity, with particular reference to its antonym, ‘disconnectivity’; and cosmopolitanism, with strong focus on what we term its ‘thick’ and ‘thin’ variants. We explore the interplay of these concepts and processes within three broad domains of the ‘football world’: supporter subcultures, sport journalism, and Japanese football culture. We conclude in part by arguing for greater exploration of sport's role in regard to global processes and of the interrelationships between the duality of glocality and the thick/thin variants of cosmopolitanism.     

MEASURING CRACK COCAINE AND ITS IMPACT

Numerous social indicators turned negative for Blacks in the 1980s and rebounded a decade later. We explore whether crack cocaine explains these patterns. Absent a direct measure, we construct a crack prevalence index using multiple proxies. Our index reproduces spatial and temporal patterns described in ethnographic accounts of the crack epidemic. It explains much of the 1980s rise in Black youth homicide and more moderate increases in adverse birth outcomes. Although our index remains high through the 1990s, crack's deleterious social impact fades. Changes over time in behavior, crack markets, and the user population may have mitigated crack's damaging impacts. (JEL K42, J15, I30)     

Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm

Abstract.  The expectation-maximization (EM) algorithm is a popular approach for obtaining maximum likelihood estimates in incomplete data problems because of its simplicity and stability (e.g. monotonic increase of likelihood). However, in many applications the stability of EM is attained at the expense of slow, linear convergence. We have developed a new class of iterative schemes, called squared iterative methods (SQUAREM), to accelerate EM, without compromising on simplicity and stability. SQUAREM generally achieves superlinear convergence in problems with a large fraction of missing information. Globally convergent schemes are easily obtained by viewing SQUAREM as a continuation of EM. SQUAREM is especially attractive in high-dimensional problems, and in problems where model-specific analytic insights are not available. SQUAREM can be readily implemented as an 'off-the-shelf' accelerator of any EM-type algorithm, as it only requires the EM parameter updating. We present four examples to demonstrate the effectiveness of SQUAREM. A general-purpose implementation (written in R) is available.