Anthropological versus sociological approaches to the study of soccer hooliganism: some critical notes

It is argued that the anthropological approach, as used by Armstrong and Harris, has not generated any breakthrough in the study of soccer hooliganism. In particular, it is suggested that their use of a commonsense rather than a sociological concept of violence vitiates their analysis in several ways, contributing above all to substantial inconsistencies between some of their own empirical data and their general conclusions concerning levels of soccer-related violence. It is also contended that their critique of the ‘figurational’ or ‘process-sociological’ approach followed by the Leicester researchers is based on a confused misrepresentation of that approach. Specifically it is argued (i) that Armstrong and Harris fail to recognize the wide range of methods, including extensive participant observation, used by the Leicester group, (ii) that their attempt to cast doubt on the Leicester group's contention that the core football hooligans come predominantly from the ‘rougher’ sections of the working class is based on nothing more than a priori speculation. In this connection, Armstrong and Harris themselves provide no reliable data on the social class of soccer hooligans in Sheffield, and they seem unaware of the fact that several different sources of data appear to confirm the finding of the Leicester group, (iii) they have misunderstood both the terminology and the reasoning of the Leicester group concerning the ‘rougher’ sections of the working class and their relationship to football hooliganism.     

Size, book-to-market, and momentum during the business cycle

The Fama–French-Methodology (1993–1998) offers cross-sectional explanations of returns by taking the specially designed portfolios SMB and HML as additional factors. It is acknowledged that these factors are related to some forms of risk (they bear premia) which, by researchers is often proposed to be related to the uncertainty with respect to macroeconomic production and aggregate consumption. In more recent research a momentum factor is included in order to improve the explanatory power of the Fama–French-Model. We use data from business cycles 1926–2007 to show that SMB represents the risks related to the very early phase of an upswing while HML may be related to the uncertainty whether a business cycle will continue to gain depth and strength (or shifts back into recession). In contrast to SMB and HML, we do not find momentum to be related to risks associated with particular phases of the business cycle.     

New Public Management Is Dead--Long Live Digital-Era Governance

The "new public management" (NPM) wave in public sector organizationalchange was founded on themes of disaggregation, competition,and incentivization. Although its effects are still workingthrough in countries new to NPM, this wave has now largely stalledor been reversed in some key "leading-edge" countries. Thisebbing chiefly reflects the cumulation of adverse indirect effectson citizens' capacities for solving social problems becauseNPM has radically increased institutional and policy complexity.The character of the post-NPM regime is currently being formed.We set out the case that a range of connected and informationtechnology–centered changes will be critical for the currentand next wave of change, and we focus on themes of reintegration,needs-based holism, and digitization changes. The overall movementincorporating these new shifts is toward "digital-era governance"(DEG), which involves reintegrating functions into the governmentalsphere, adopting holistic and needs-oriented structures, andprogressing digitalization of administrative processes. DEGoffers a perhaps unique opportunity to create self-sustainingchange, in a broad range of closely connected technological,organizational, cultural, and social effects. But there arealternative scenarios as to how far DEG will be recognized asa coherent phenomenon and implemented successfully.     

Conditional Information in Projections of Gaussian Vectors

Conditional information measures the information in a sample for an interest parameter in the presence of nuisance parameter. In the context of Gaussian likelihoods this paper first derives conditions under which a projection of the data may reduce conditional information to zero. These are then applied in the context of time series regressions, and inference on a covariance parameter, such as with either autoregressive or moving average errors. It is shown that regressing out very common regressors, such as a linear trend or dummy variable, can imply that conditional information is zero in the case of non-stationary autoregressions or non-invertible moving averages, respectively.     

On extending bock's model of logistic regression in the analysis of categorical data

A general class of multiple logistic regression models is reviewed and an extension is proposed which leads to restricted maximum likelihood estimates of model parameters. Examples of thegeneral model are given, with an emphasis placed on the interpretation of the parameters in each case.     

Bayesian reconstruction of contingency tables with partially categorized data

This paper suggests a Bayesian approach to the reconstruction of a 2 × 2 contingency table where some of the observations are only partially categorized and others are fully categorized. In contrast, most previous Bayesian and non-Bayesian analyses of the partially categorized data problem have been concerned with estimation of the parameters that generated the data. We show in an example that estimates may not be extremely sensitive to the weight placed on prior information relative to the sample data.     

Detection of Multiple Outbreaks Using Spatio-Temporal EWMA-Ordered Statistics

Spatio-temporal surveillance methods for detecting outbreaks of disease are fairly common in the literature with the scan statistic setting the benchmark. If the shape and size of the outbreaks are known in advance, then the scan approach can be designed to efficiently detect these, however, this is seldom true. Therefore we want to devise plans that are efficient at detecting a number of outbreaks that vary in size and shape. This paper examines plans which use the exponential weighted moving average statistic to build temporal memory into plans and tries to develop robust plans for detecting outbreaks of unknown shapes and sizes.     

Value drivers of social businesses: A business model perspective

Hybrid organizational forms that combine commercial and welfare institutional logics play an increasingly important role in addressing the grand societal challenges we face today. Building on the literatures on hybrid organizations and social business models, we explore the characteristics of social businesses from a business model perspective. This study seeks to better understand the particularities and value drivers of hybrid social purpose in contrast to purely commercial business models. We follow a grounded theory approach and our findings are based on interview data from 17 social business firms. Building on social businesses' identified particularities, we propose four value drivers of social business models: 1) responsible efficiency, 2) impact complementarities, 3) shared values, and 4) integration novelties. We link our findings to the literature, contributing new insights into social businesses models and implications for practitioners.     

Tedious: feminized labor in machine-readable cataloging

This essay examines previously unexplored IBM reports and manuals that document the development of Machine-Readable Cataloging (MARC) in the 1960s to understand gendered assumptions manufacturers made about the labor of information retrieval and to ultimately discuss the ways in which MARC transformed the feminized labor of information, making it more diffuse and shifting expectations about productivity. In the process, this essay will show that cataloging, like other forms of women’s labor transformed by technology in the latter part of the twentieth century, has a complicated relationship to the market labor and industrialization. Finally, this essay ends by connecting MARC and feminized labor to the contemporary discussion of BIBFRAME.