Policing Violent Extremism: How the Global War on Terror Meandered Into Local Municipal Policies in Sweden

Christer Mattsson

SAGE Open, 2019, vol. 9, issue 1, 2158244019837462

Abstract: The present article analyzes Swedish local municipal action plans for prevention of violent extremism. Sweden began adopting local policies for detection and prevention of violent extremism in 2015. Until today, about 40% of Swedish municipalities have done so. The present article examines how policy ideas have been transferred from abroad and the transnational level into a national Swedish discourse and has continually, via vertical transfer, ended up in local municipalities. This is seemingly being done without any profound understanding of or reflection on local needs, that is, the presence of violent extremist groups or other forms of violent radicalization. A major focus in these plans, as revealed in the study, is on instructing school and social welfare agencies to develop systems for detecting risk signals and instructing, among others, teachers to search for and report pupils who might be radicalized to the police or the security police. These policy ideas are then horizontally transferred to neighboring municipalities. The article, making use of critical discourse analyses, investigates the consequences for the teaching profession, as regards changing the preconditions for social practice, which might occur when teachers are instructed to monitor their pupils’ thoughts and behavior.

Keywords: radicalization; policy studies; education; pedagogical work; prevention of violent extremism (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/2158244019837462 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:9:y:2019:i:1:p:2158244019837462

DOI: 10.1177/2158244019837462

Access Statistics for this article

More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().