4.6 Article

Digital nomads in siliconising Cluj: Material and allegorical double dispossession

期刊

URBAN STUDIES
卷 57, 期 15, 页码 3078-3094

出版社

SAGE PUBLICATIONS LTD
DOI: 10.1177/0042098019847448

关键词

displacement; gentrification; globalisation; migration; postsocialism; race; ethnicity; Romania; technology; smart cities

资金

  1. Fulbright International Institute of Education [PS00247659]
  2. Social Science Research Council International Dissertation Research Fellowship
  3. Humanities Institute, University of California, Santa Cruz
  4. University of California Institute for Humanities Research

向作者/读者索取更多资源

This paper studies the arrival of digital nomads in Cluj, Romania. I focus upon double dispossession, in which 'digital nomads' allegorise technocapitalist fantasies by appropriating Roma identity on one hand, and in which Roma are evicted to make way for the arrival of Western digital nomads and tech firms on the other. While Roma are materially dispossessed as Cluj siliconises, they are doubly dispossessed by the conjuration of the deracinated digital nomad/Gypsy. As I suggest, this figure discursively drags with it onto-epistemological residues of 19th-century Orientalism - a literary genre that emerged within the heart of Western European empires. The recoding of the nomad today, I argue, indexes the imperiality of technocapitalism, or techno-imperialism. Double dispossession, as a phenomenon, illuminates that prior histories bolster, and are consumed by, globalising techno-imperialism. Postcolonial and postsocialist studies offer frameworks for understanding this update, as well as the accumulative and multifaceted dispossession that siliconisation inheres. I thus argue for a connected rather than comparative approach in understanding double dispossession, one focused upon connections across time, space and genre. A connected approach remains rooted in community organising and housing justice struggles.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据