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Ambivalent stereotypes link to peace, conflict, and inequality across 38 nations
University of Milano-Bicocca, Italy.
Princeton University, USA.
University of Maryland, USA.
University of Milano-Bicocca, Italy.
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2017 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 114, no 4, p. 669-674Article in journal (Refereed) Published
Abstract [en]

A cross-national study, 49 samples in 38 nations (n = 4,344), inves- tigates whether national peace and conflict reflect ambivalent warmth and competence stereotypes: High-conflict societies (Pakistan) may need clearcut, unambivalent group images distinguishing friends from foes. Highly peaceful countries (Denmark) also may need less ambivalence because most groups occupy the shared national identity, with only a few outcasts. Finally, nations with interme- diate conflict (United States) may need ambivalence to justify more complex intergroup-system stability. Using the Global Peace Index to measure conflict, a curvilinear (quadratic) relationship be- tween ambivalence and conflict highlights how both extremely peaceful and extremely conflictual countries display lower stereo- type ambivalence, whereas countries intermediate on peace-conflict present higher ambivalence. These data also replicated a linear inequality–ambivalence relationship. 

Place, publisher, year, edition, pages
2017. Vol. 114, no 4, p. 669-674
Keywords [en]
stereotypes, peace, conflict, inequality, ambivalence
National Category
Psychology (excluding Applied Psychology)
Research subject
Social Sciences, Psychology
Identifiers
URN: urn:nbn:se:lnu:diva-59715DOI: 10.1073/pnas.1611874114ISI: 000392597000038OAI: oai:DiVA.org:lnu-59715DiVA, id: diva2:1063536
Available from: 2017-01-10 Created: 2017-01-10 Last updated: 2018-05-31Bibliographically approved

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Carlsson, Rickard

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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