Determinants of Experience of Discrimination in Minorities in Germany

This study examines perceived ethnic discrimination (as opposed to “objective” discrimination). It includes a discussion of definitions of discrimination and attempts to measure it, and a review of findings on the distribution of discrimination experiences among minorities. The aim of the study is to determine the influence of factors that increase the risk of exposure to situations in which discrimination can take place (exposure hypothesis), and those that sensitize perceptions and give rise to different frequencies of subjective feelings of discrimination (sensitization hypothesis). A standardized questionnaire was administered to a random sample of German-born persons of Turkish and Greek origin and Aussiedler (ethnic Germans born in the former Soviet Union) (total N = 301). Minorities of non-German, especially of Turkish origin reported significantly more discrimination than Aussiedler in a set of nineteen everyday situations. A bivariate correlation was found between number of incidents reported and employment status with homemakers reporting the fewest incidents. However, multiple regression analysis yielded no significant effect, thus lending no clear support to the exposure hypothesis. Frequency of contacts with German friends has no effect and seems not to entail an increase in exposure opportunities, but may lead to a desensitization to discrimination due to the erosion of the relevance of ethnic categories. On the other hand, an influence through intra-ethnic contacts clearly occurs, as frequency of contact with co-ethnic friends exerts a strong positive effect on experienced discrimination. A similar effect was found for ethnic self-awareness. The latter finding confirms the sensitization hypothesis.

Theory and Practice: A Matter of Words. Language, Knowledge and Professional Community in Social Work

The relation between theory and practice in social work has always been controversial. Recently, many have underlined how language is crucial in order to capture how knowledge is used in practice. This article introduces a language perspective to the issue, rooted in the ‘strong programme’ in the sociology of knowledge and in Wittgenstein’s late work. According to this perspective, the meaning of categories and concepts corresponds to the use that concrete actors make of them as a result of on-going negotiation processes in specific contexts. Meanings may vary dramatically across social groups moved by different interests and holding different cultures. Accordingly, we may reformulate the issue of theory and practice in terms of the connections between different language games and power relationship between segments of the professional community. In this view, the point is anyway to look at how theoretical language relates to practitioners’ broader frames, and how it is transformed while providing words for making sense of experience.

Neoliberalism, the Third Way and Social Work: the UK experience

For most of the past two decades, the notion that there is no alternative to the market as a basis for organising society has constituted a kind of global 'common sense', accepted not only by the neo-liberal Right but also by social democratic thinkers and politicians, in the form of 'the Third Way'. This paper will critically assess the central claims of neoliberalism in the light of experience in the UK and internationally, evaluate the ways in which Third Way policies are shaping social work in the UK, and in the final section, begin to explore some of the ways in which the anti-capitalist movement which has emerged in recent years might contribute to the development of a new, engaged social work, based on social justice.

Impact Study of Nonverbal Facial Cues on Spontaneous Chatting with Virtual Humans

Non-verbal communication (NVC) is considered to represent more than 90 percent of everyday communication. In virtual world, this important aspect of interaction between virtual humans (VH) is strongly neglected. This paper presents a user-test study to demonstrate the impact of automatically generated graphics-based NVC expression on the dialog quality: first, we wanted to compare impassive and emotion facial expression simulation for impact on the chatting. Second, we wanted to see whether people like chatting within a 3D graphical environment. Our model only proposes facial expressions and head movements induced from spontaneous chatting between VHs. Only subtle facial expressions are being used as nonverbal cues - i.e. related to the emotional model. Motion capture animations related to hand gestures, such as cleaning glasses, were randomly used to make the virtual human lively. After briefly introducing the technical architecture of the 3D-chatting system, we focus on two aspects of chatting through VHs. First, what is the influence of facial expressions that are induced from text dialog? For this purpose, we exploited an emotion engine extracting an emotional content from a text and depicting it into a virtual character developed previously [GAS11]. Second, as our goal was not addressing automatic generation of text, we compared the impact of nonverbal cues in conversation with a chatbot or with a human operator with a wizard of oz approach. Among main results, the within group study -involving 40 subjects- suggests that subtle facial expressions impact significantly not only on the quality of experience but also on dialog understanding.

Learning Curves of Temporary Workers in Manual Order Picking Activities

Person-to-stock order picking is highly flexible and requires minimal investment costs in comparison to automated picking solutions. For these reasons, tradi-tional picking is widespread in distribution and production logistics. Due to its typically large proportion of manual activities, picking causes the highest operative personnel costs of all intralogistics process. The required personnel capacity in picking varies short- and mid-term due to capacity requirement fluctuations. These dynamics are often balanced by employing minimal permanent staff and using seasonal help when needed. The resulting high personnel fluctuation necessitates the frequent training of new pickers, which, in combination with in-creasingly complex work contents, highlights the im-portance of learning processes in picking. In industrial settings, learning is often quantified based on diminishing processing time and cost requirements with increasing experience. The best-known industrial learning curve models include those from Wright, de Jong, Baloff and Crossman, which are typically applied to the learning effects of an entire work crew rather than of individuals. These models have been validated in largely static work environments with homogeneous work contents. Little is known of learning effects in picking systems. Here, work contents are heterogeneous and individual work strategies vary among employees. A mix of temporary and steady employees with varying degrees of experience necessitates the observation of individual learning curves. In this paper, the individual picking performance development of temporary employees is analyzed and compared to that of steady employees in the same working environment.