Music Genres as Historical Artifacts: The Case of Classical Music

Abstract

This article reflects on the use of predetermined genre lists to measure patterns in music taste and, more specifically, classical music taste. Classical music as a whole is in quantitative research typically treated as marker of cultural prestige, although qualitative research suggests great internal diversity within the genre. The use of a predetermined array of genres to measure music taste risks to miss these subdivisions within the classical music genre and thus produces biased results. Therefore, inspired by Lamont’s (2010) call to study classification systems ‘from the ground up’, we present an alternative strategy to measure classical music taste using an open question about artist preferences. We build a two-mode network of classical music artists and respondents and use Infinite Relational Models to identify clusters of respondents that have similar relationships to the same set of artists. We detect no less than five distinct listening patterns within the classical music genre. Two of these preference clusters focus only on very central, popular classical artists. Another cluster combines these popular artists with more contemporary artists. One cluster focuses on only one very accessible artist and, finally, there is a cluster of respondents that distinct themselves by having a real connoisseur taste. Furthermore, we find that expert taste in classical music is not related to social distinction. Instead, knowledge of the most central and popular artists (e.g. Bach, Beethoven, Mozart) is typical for respondents with a high socio-economic background. Social distinction seems more related to knowledge of popular artists in classical music than to distinctive, connoisseur taste. Our findings show the potential of social network analysis for the problem of music taste classification and cultural sociology in general.