Creating Organisational Strength from Operationalising Restrictions: Welfare Non-profit Organisations in the Russian Federation

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - The work of non-profit organisations (NPOs) in non-democratic country contexts tends to be judged on their contribution to...     

Estimation and regularization techniques for regression models with multidimensional prediction functions

Boosting is one of the most important methods for fitting regression models and building prediction rules. A notable feature of boosting is that the technique can be modified such that it includes a built-in mechanism for shrinking coefficient estimates and variable selection. This regularization mechanism makes boosting a suitable method for analyzing data characterized by small sample sizes and large numbers of predictors. We extend the existing methodology by developing a boosting method for prediction functions with multiple components. Such multidimensional functions occur in many types of statistical models, for example in count data models and in models involving outcome variables with a mixture distribution. As will be demonstrated, the new algorithm is suitable for both the estimation of the prediction function and regularization of the estimates. In addition, nuisance parameters can be estimated simultaneously with the prediction function.     

Smith,D. H., Moldavanova,A. V., and Krasynska (ed.), The Nonprofit Sector in Eastern Europe,Russia, and Central Asia: Civil Society Advances and Challenges

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

The representation of street art on Flickr. Studying reception with visual content analysis

Street art is public art; it’s accessible; it’s of the people; it’s an urban voice; it’s on public view; it’s on-the-street. Nonetheless, the World Wide Web has been party responsible for street art becoming both recognised and popular. As a result, this study is investigating how street art is represented on the open photo-sharing platform, Flickr. It is a social network site offering a large portfolio of photographs showing a wide range of images, which have been categorised and classified using ‘tags’. By using a visual content analysis based on theoretically determined categories to examine the uploaded photographs, this investigation will shed light on what a selection of Flickr users recognise as street art and how they record and index it.     

Why Do Political Elites Fracture? The Unusual Case of the Yugoslav Communist Elite

After World War II, Yugoslavia as a state was reconstituted by a small communist elite. Since this was an ideocratic rule, ideology was taken seriously by the elite and treated enthusiastically. One of the elite’s initial goals was to speedily develop Yugoslavia, so that a Western level of economic development be achieved. Economic disparities among regions were also to have been overcome. For various reasons, this objective was never close to being achieved, although in certain periods economic development was strong. The elite tried to speed up growth by various incentives, including worker self-management. Failure to achieve this goal and various economic troubles first precipitated mutual acrimony within the elite along national lines, while at the next stage, it brought about ethnic segmentation of the elite itself. By 1972, the elite had dissolved into national, although still communist, elites. The major reasons for this process are found in the very failure to achieve the developmental goal, in the consociational nature of the political system, and in the nature of the political elites, which were national ones. Elite segmentation sheds important light on the dissolution of the Yugoslav state.