Field (Bourdieu)

About: Field (Bourdieu) is a research topic. Over the lifetime, 11421 publications have been published within this topic receiving 180769 citations.

The Translation Zone: Between Actor-Network Theory and International Relations

Abstract: This article examines the problem of how to translate actor-network theory into the field of international relations, and develops three arguments. Firstly, the article draws on Emily Apter’s notio...

How to be a (recognized) translator: Rethinking habitus, norms, and the field of translation

Abstract: Focusing on translators as a cultural-professional group, this article mobilizes the Bourdieusian concepts of field and habitus for explaining the tension between the constrained and the versatile nature of translators’ action, as determined by their cultural group-identification and by their position in their specific field of action. Emphasizing the basic parameter of status contests and struggle for symbolic capital, it elaborates on three important aspects of translators’ differentiating self-images and strategies of action, using examples from the field of Hebrew translation in contemporary Israel: (1) the variability of strategies translators employ while playing either conservative or innovative roles, as cultural custodians or cultural importers, in specific historical contexts; (2) the dynamic construction and stratification of the field of translation, which results from the endeavor to establish its autonomous source of prestige, oscillating between impersonal professional status and an artistic-like personal “stardom”; and (3) translators’ preferred models of self-fashioning, according to which they select and signify the facts of their life-conditions and use them for improving their status and terms of work.

Agent-based Models of Innovation and Technological Change

Abstract: This chapter discusses the potential of the agent-based computational economics approach for the analysis of processes of innovation and technological change. It is argued that, on the one hand, several genuine properties of innovation processes make the possibilities offered by agent-based modelling particularly appealing in this field, and that, on the other hand, agent-based models have been quite successful in explaining sets of empirical stylized facts, which are not well accounted for by existing representative-agent equilibrium models. An extensive survey of agent-based computational research dealing with issues of innovation and technological change is given and the contribution of these studies is discussed. Furthermore a few pointers towards potential directions of future research are given.