Social Work Students’ Use of Knowledge in Direct Practice – Reasons, Strategies and Effects

This article describes a study of Swedish social work students’ use of knowledge during their field practice. Data was collected by using short written narratives, where the students reflect on situations from practice, situations they experienced as critical or problematic. The narratives were analysed with a method inspired by the interpretation theory of Paul Ricoeur. The article starts with a discussion adhering to the present trend of evidence-based social work practice. This is followed by a study of 144 narratives from social work students containing critical or problematic events. A quantitative description of the material as well as qualitative model of two type-strategies, that social work students use, is presented. The results show, among other things, that students use several forms of knowledge, where facts/evidence is one of several. The study also shows that there is a strong adaptation to varying critical situations. A conclusion is that it is difficult to a priori define the types and proportions of knowledge to use in social work practice.

Is the Market Classification of Risk Always Efficient? - Evidence from German Third Party Motor Insurance

This paper studies the empirical effects of risk classification in the mandatory third-party motor insurance of Germany following the European Union’s directive to de-regulate insurance tariffs of 1994. We find evidence that inefficient risk categories had been selected while potentially efficient information was dismissed. Risk classification did generally not improve the efficiency of contracting or the composition of insureds in this market. These findings are partly explained by the continuing existence of institutional restraints in this market such as compulsory fixed coverage and unitary owner insurance.

Content Classification of Multimedia Documents using Partitions of Low-Level Features

Audio-visual documents obtained from German TV news are classified according to the IPTC topic categorization scheme. To this end usual text classification techniques are adapted to speech, video, and non-speech audio. For each of the three modalities word analogues are generated: sequences of syllables for speech, “video words” based on low level color features (color moments, color correlogram and color wavelet), and “audio words” based on low-level spectral features (spectral envelope and spectral flatness) for non-speech audio. Such audio and video words provide a means to represent the different modalities in a uniform way. The frequencies of the word analogues represent audio-visual documents: the standard bag-of-words approach. Support vector machines are used for supervised classification in a 1 vs. n setting. Classification based on speech outperforms all other single modalities. Combining speech with non-speech audio improves classification. Classification is further improved by supplementing speech and non-speech audio with video words. Optimal F-scores range between 62% and 94% corresponding to 50% - 84% above chance. The optimal combination of modalities depends on the category to be recognized. The construction of audio and video words from low-level features provide a good basis for the integration of speech, non-speech audio and video.

The Legal Classification of ISPs - The Czech Perspective

This Article is a comprehension of the lecture held at at the International Conference on “Commons, Users, Service Providers – Internet (Self-) Regulation and Copyright” which took place in Hannover, Germany, on 17/18 March 2010 on the occasion of the launch of JIPITEC. It summarizes the current issues concerning ISP liability in the Chzech Republic.