Stereotypes about Muslims in the Netherlands: An Intersectional Approach

Author:

Wiemers Samira A.1,Stasio Valentina Di1ORCID,Veit Susanne2ORCID

Affiliation:

1. Utrecht University, Utrecht, Netherlands

2. DeZIM-Institute, Berlin, Germany

Abstract

We relied on a content analysis of freely generated stereotypes about Muslims and Muslim-majority immigrant groups from a representative sample of Dutch natives. Building on intersectionality theory and stereotype prototypicality, we hypothesized and found that ethnic-group stereotypes more accurately reflect stereotypes of ethnic-minority men compared with ethnic-minority women and that stereotypes of ethnic-minority women contain more unique elements that do not overlap with either stereotypes about the gender group or stereotypes about the general ethnic group. We also examined the overlap between stereotypes about Muslims and those associated with Turks, Moroccans, Somalis, and Syrians in the Netherlands. The overlap in stereotype content was largest with Turks and Moroccans, the two largest and most long-established Muslim immigrant groups in the Netherlands. Overall, our results demonstrate the importance of an intersectional approach to stereotypes based on gender and ethnicity and of distinguishing between different ethnic groups in research about Muslims.

Publisher

SAGE Publications

Reference70 articles.

1. The Multiple Burdens of Foreign-Named Men--Evidence from a Field Experiment on Gendered Ethnic Hiring Discrimination in Sweden

2. Centraal Bureau voor de Statistiek. 2016. Jaarrapport Integratie 2016. https://www.cbs.nl/-/media/_pdf/2016/47/2016b5_jaarrapport_integratie_2016_web.pdf.

3. Centraal Bureau voor de Statistiek. 2020. Jaarrapport Integratie 2020. https://www.cbs.nl/-/media/_pdf/2020/46/jaarrapportintegratie2020_web.pdf.

4. The veil under attack

5. The Hijab Penalty: Feminist Backlash to Muslim Immigrants

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3