Distinctions in the making: A theoretical discussion of youth and cultural capital

The aim of this paper is to address the dynamics of contemporary cultural capital by interrogating what counts for young people as valuable cultural resources. Considerable support is given in later scholarship for Bourdieu’s model of the social space, as the overall volume of economic and cultural capital combined is regularly found to be the most important axis of opposition, just as in Bourdieu’s work Distinction. Yet, while Bourdieu found the second axis to be structured by an opposition between those with cultural rather than economic capital, and vice versa, many later studies instead find oppositions between the young and the old to structure the second axis. Up till now, this finding has not been adequately addressed. In this paper, we hold that considering age-related inequalities offers a powerful way of interpreting recent developments in order to understand the changing stakes of cultural capital, and also their interaction with the intensification of inequalities in economic capital. After a theoretical clarification of the relationship between cultural capital and youth, we will synthesise research on young people and explore the significance of youthful cultural consumption. We will pragmatically focus on the 15–30 years old and put a particular accent on Norwegian studies in our review, as they are the most sophisticated in this genre. Four areas are explored: the restricted role of classical culture; the appeal of popular culture; digital distinctions, and moral-political positions as markers of distinction.     

A New Kuznetsian Dynamic: The Knowledge Economy and Income Inequality in the United States, 1917–2008

The rise of the knowledge economy resulted in higher levels of income inequality in the United States and forced many to question the Kuznets Inverted‐U hypothesis. However, this study argues that the establishment of a knowledge economy does not negate the importance of employment shifts for income inequality. Instead, the expansion of knowledge employment alters the major sectors that are responsible for the overall distribution of income. To this end, this article presents the key argument that the current service–knowledge transition impacts income inequality trends, of today, in a way that is similar to the agricultural–industrial transition, of the past. According to the autoregressive conditional heteroskedasticity regressions, the agricultural–industrial transition returns stronger associations with income inequality in the United States before 1950. The agricultural–industrial transition's impact diminishes thereafter as the service–knowledge transition shares a more robust association with income inequality after 1980.     

Immigration,internal migration and crime in South Africa: A multi‐level model analysis

A review of South African literature on crime confirms the lack of a study that considers the impact of migration on the crime rate in the country. The high levels of crime in South Africa aside, additional motivation behind the study has been the increasing rhetoric in media and by politicians insinuating the prominent role of foreign immigrants in the high crime levels of the country. While this is the first attempt to study this relationship in the South African context, it also stands apart from existing studies undertaken in the developed countries by accounting for both internal migrants as well as foreign immigrants. Further, the study claims the use of multi‐level regression estimations as an improvement from the existing studies on the issue by accounting for variance clustering across different spatial levels. In all the estimated models, internal migrant ratio came out as being positively and significantly related to crime rates across five different crime categories, with the sole exception of sexual crime rate. There was no evidence of foreign immigrant ratio impacting on crime rate in any of the crimes analysed except crime relating to property. Further, income inequality and sex ratio figure as determining factors across most types of crime in South Africa.