PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 8, 2026Journal of Refugee Studies0 citationsOpen Access

Ambivalent intersectional solidarity: Berlin’s LGBTIQ+ civil society alliances during the war in Ukraine

View Full Paper
AAAnonymous Author(s)GYGökce YurdakulCal Poly Humboldt

Key Points

  • The aim is to investigate how LGBTIQ+ civil society in Berlin has formed solidarity in response to the Ukraine war.
  • Conducted qualitative interviews with representatives from twelve LGBTIQ+ organizations
  • Examined the mobilization efforts for queer Ukrainian refugees
  • Analyzed tensions and exclusions within solidarity frameworks
  • Identified ambivalent nature of intersectional solidarity among LGBTIQ+ groups
  • Highlighted contested aspects of solidarity amid historical trauma and geopolitical issues
  • Demonstrated that shared identity does not guarantee inclusive support

Abstract

Abstract In this paper, we examine the formation and evolution of intersectional solidarity among LGBTIQ+ civil society organizations in Berlin responding to the war in Ukraine. Drawing on qualitative interviews with representatives from twelve organizations, we analyze how these groups mobilized to support queer Ukrainian refugees. Our theoretical contribution lies in advancing the concept of ambivalent intersectional solidarity, which captures the tensions and exclusions that arise even within seemingly unified solidarity efforts. We argue that solidarity cannot be assumed to be inherently inclusive simply because actors share one or more axes of identity (e.g., queerness). Instead, we show how intersectionality—as both a lived experience and an analytic lens—reveals the contested nature of solidarity in contexts marked by historical trauma and geopolitical asymmetries.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Author(s) et al. (2026) studied this question.

synapsesocial.com/papers/6988292d0fc35cd7a8849530https://doi.org/10.1093/jrs/feaf083
Ask AI
Helpful
Bookmark
Share
View Full Paper