615
Views
10
CrossRef citations to date
0
Altmetric
Regular Article

Game of labels: identification of highly skilled migrants

Pages 615-633 | Received 06 Oct 2017, Accepted 07 Sep 2018, Published online: 19 Sep 2018
 

ABSTRACT

The aim of this paper is to explore the identification choices of highly skilled migrants employed by companies in the Wałbrzych Special Economic Zone in south-west Poland in order to discuss how their identity is constructed and performed, especially how conflictual identifications are managed. Analysis of qualitative data shows the migrants call both their place of origin and their new place of life home. They identify as inhabitants of their new city and talk about gaining some traits of Polish national identity but they stress strong national identity related to their home country. Conflicts of loyalties in these hybrid identities are solved through a label game. Migrants identify with groups at different scales, from local groups, through city and national, to supranational. By playing with the scale of groups they can avoid conflicting identifications.

Disclosure statement

No potential conflict of interest was reported by the author.

Notes

1. Quotes are described with pseudonyms and country of birth. Some migrants grew up in more than one country.

2. Polish name for female inhabitant of Wrocław.

Additional information

Funding

This work was supported by the National Science Centre (grant number UMO2013/11/B/HS6/01348);Narodowe Centrum Nauki [UMO-2013/11/B/HS6/ 01348].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 179.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.