Suchergebnisse

The emergence of big data and data science has caused the human and social sciences to reconsider their aims, theories, and methods. New forms of inquiry into culture have arisen, reshaping quantitative methodologies, the ties between theory and empirical work. The starting point for this article is two influential approaches which have gained a strong following, using computational engineering for the study of cultural phenomena on a large scale: 'distant reading' and 'cultural analytics'. The aim is to show the possibilities and limitations of these approaches in the pursuit of scientific knowledge. The article also focuses on statistics of culture, where integration of big data is challenging procedures. The article concludes that analyses of extensive corpora based on computing may offer significant clues and reveal trends in research on culture. It argues that the human and social sciences, in joining up with computational engineering, need to continue to exercise their ability to perceive societal issues, contextualize objects of study, and discuss the symbolic meanings of extensive worlds of artefacts and discourses. In this way, they may help to overcome the perceived restrictions of large-scale analysis such as the limited attention given to individual actors and the meanings of their actions.

Taking into account the course of cultural policy in democratic Portugal, and against the backdrop of the international crisis of 2008 and the sovereign debt crisis of 2011, this article seeks to interpret recent changes in the cultural sector in Portugal. Using both qualitative and quantitative methods it focuses on three main aspects: institutionalisation of democratic cultural policy; government funding; cultural organizations and facilities. The 2008 crisis put an end to a period in which investment tended to grow. We place Portugal in the broader European context, concluding that the Portuguese cultural scene may once again diverge from that of other European countries.