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European inequality research often follows the tradition of using occupational based categorical classification to identify the socioeconomic position of individuals or households (e.g., classes, strata, milieus, occupational groups). In the past, European studies have often used the Erikson-Goldthorpe-Portocarero class (EGP) scheme (cf. Erikson & Goldthorpe 1992). However, the EGP scheme has only been validated for Great Britain (cf. Evans 1992). Variants for other countries are largely based on informed plausibility, following the British model, though operationalisation may vary by country. As an alternative to the EGP, two other currently available categorical concepts are the ESeC (European Socioeconomic Classification) and the ESeG (European Socioeconomic Groups), both based on the International Standard Classification of Occupation (ISCO). Both concepts are intended to improve cross-country comparative analysis of social inequality in Europe. However, the ESeC and ESeG differ in their theoretical basis and should not be confused with each other, and the ESeC and ESeG also cannot readily be transferred into each other. The ESeC is available for ISCO-88 (ESeC88) and ISCO-08 (ESeC08). The ESeG is available for ISCO-08. In this paper, we focus on the operationalisation of ESeC with EU-SILC cross-sectional data (2004-2020). Alongside this report, we have published syntax files (SPSS, Stata, and R) which can be used for the operationalisation of ESeC and ESeG.

Résumé Actuellement dépassée, la traditionnelle distinction entre opposition qui a vocation à gouverner et opposition qui n'a pas vocation à gouverner a laissé place à une triple typologie : partis de gouvernement, formations de complément et opposition sociale. Si des rapprochements ponctuels peuvent advenir entre ces trois catégories, elles se distinguent nettement, aussi bien par leurs objectifs que par leurs moyens d'expression et d'action. Le devenir de l'opposition sociale reste cependant suspendu à sa capacité à se structurer et à dépasser son caractère conjoncturel.

Résumé L'acceptation de plus en plus fréquente de la notion de handicap psychique s'est accompagnée d'un besoin de délimitation précise de ses contours et de dénombrement de la population concernée. La difficulté d'estimation de la prévalence du handicap en général tient notamment à son caractère multidimensionnel et au fait que chacune des dimensions relève d'un continuum. Dans le domaine des troubles mentaux, le contexte historique de l'émergence de la notion de handicap psychique a probablement contribué à la proximité de cette entité avec celle de maladie mentale. L'appréciation d'une prévalence s'appuie nécessairement sur des outils conceptuels visant à cerner le phénomène. L'étude des classifications des maladies (CIM), des troubles mentaux (DSM) et du handicap (CIH et CIF) ainsi que des questionnaires d'enquête basés sur ces classifications attestent du recouvrement partiel de ces outils, ce qui complique l'obtention d'une quantification univoque du handicap psychique en population générale.

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.--

The article is devoted to the system classifi cation of religions on the basis of various criteria, the most important of which is the communication one. As the cross-cultural method shows, there is no word «religion» in many languages o f the world, but there is its equivalent, denoting the connection of man with God and supernatural forces. The system classifi cation of religions is more a system of classifi cations than a classifi cation, which based on ideal, hypothetical models. It based on the object of worship (the religion of Nature, the religion of Tradition, the religion of Revelation), on the sources of the doctrine (the religion of the scriptures), on the methods of obtaining information, or, in the religious paradigm, religious knowledge /hidden truths (prophetic, non-prophetic, etc.). The author tries to fi nd conjugations between these classifi cations. The system-communication method is one of many possible ways of scientifi c knowledge of religion, which allows us to divide complex social essences and phenomena into composite elements, and each of them in their close interconnection and interaction with other elements of systematic knowledge, taking into account the specifi city of religious communication.

Developmental criminology has raised the prospect that empirical classifications of offenders based on variations in the age of offending will assist in the prediction of and explanation for crime and delinquency. Additionally, developmental criminology suggests that events late in the life course may alter offending propensities in significant ways. Recent empirical works provide compelling evidence about these claims and provide support for general theories of the causes of crime and delinquency. Some of this recent research is analyzed from the perspective of a propensity/event theory. References. [Reprinted by permission of Sage Publications Inc., copyright 2005 The American Academy of Political and Social Science.]

This book addresses two developments in the conceptualisation of citizenship that arise from the »war on terror«, namely the re-culturalisation of membership in a polity and the re-moralisation of access to rights. Taking an anthropological perspective, it traces the ways in which the trans-nationalisation of the »war on terror« has affected notions of »the dangerous other« in different political and social contexts, asking what changes in the ideas of the state and of the nation have been promoted by the emerging culture of security, and how these changes affect practices of citizenship and societal group relations.