In this study we empirically map the field of media and communication studies by focusing on relationships between cognitive dimensions on the one hand and material dimensions on the other. Our analysis, which focuses on the field of MCS in Switzerland, identifies two clusters of research institutions representing distinct strands of research in the field. Results show how these two strands differ in terms of their resource base, institutional positioning and recognition, teaching and transfer activities, as well as activities of (...) scientific production. Similarities and differences in these dimensions serve to explain the general evolution of the field. (shrink)

Teaching and research are organised differently between subject domains: attempts to construct typologies of higher education institutions, however, often do not include quantitative indicators concerning subject mix which would allow systematic comparisons of large numbers of higher education institutions among different countries, as the availability of data for such indicators is limited. In this paper, we present an exploratory approach for the construction of such indicators. The database constructed in the AQUAMETH project, which includes also data disaggregated at the disciplinary (...) level, is explored with the aim of understanding patterns of subject mix. For six European countries, an exploratory and descriptive analysis of staff composition divided in four large domains (medical sciences, engineering and technology, natural sciences and social sciences and humanities) is performed, which leads to a classification distinguishing between specialist and generalist institutions. Among the latter, a further distinction is made based on the presence or absence of a medical department. Preliminary exploration of this classification and its comparison with other indicators show the influence of long term dynamics on the subject mix of individual higher education institutions, but also underline disciplinary differences, for example regarding student to staff ratios, as well as national patterns, for example regarding the number of PhD degrees per 100 undergraduate students. Despite its many limitations, this exploratory approach allows defining a classification of higher education institutions that accounts for a large share of differences between the analysed higher education institutions. (shrink)

This paper reports on an experiment concerning the social construction of statistical definitions, where the first census of Higher Education Institutions in Europe has been developed. It conceptualizes the construction of indicators as a social process of definitions and boundaries’ negotiation, involving value judgments, social and political opinions, as well as practical interests and power strategies of actors. The paper exemplifies this process on three issues, namely the social demand for establishing a census, the controversy concerning the definition of a (...) perimeter as well as the selection of indicators, and the nature of comparability judgments. We first conclude that the socio-political dimension has to be explicitly taken into account when designing statistical systems; second, that social scientists involved in this process need to openly recognize the conflicts around the definition of indicators; third, that the objectified and taken for granted status of indicators makes them a powerful instrument to influence policy decisions and, that indicator designers need to make their own value judgments and interests fully transparent. (shrink)