JOURNAL ARTICLE

Ambivalent Mobilities? Social Resilience and the Experiences of International Students in Canada1.

  • Published In: International Journal of Canadian Studies, 2025, v. 63. P. 114 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: GABRIEL, CHRISTINA; Veronis, Luisa 3 of 3

Abstract

This article examines the dual role of Canadian universities in the recruitment and support of international students within the country's neoliberal "managed migration" framework aimed at economic goals. It highlights how universities actively recruit international students as a revenue source amid public funding cuts, while simultaneously providing essential but often ad hoc support services to address these students' complex academic, social, and settlement challenges. Using a qualitative case study of two Ontario universities in Ottawa—Carleton University and the bilingual University of Ottawa—the study explores international students' experiences of academic adjustment, isolation, financial hardship, and exclusion, as well as their engagement with university resources and ethnocultural communities. The analysis employs the concept of "social resilience" to understand how institutional supports and student agency interact in navigating these challenges, noting that universities' current services tend to focus on short-term adjustment rather than addressing broader systemic barriers. The article suggests that while universities have become key actors in both migration governance and student support, market-driven pressures and limited funding may constrain their capacity to provide comprehensive resources for international student integration.

Additional Information

  • Source:International Journal of Canadian Studies. 2025/09, Vol. 63, p114
  • Document Type:Article
  • Subject Area:Anthropology
  • Publication Date:2025
  • ISSN:1180-3991
  • DOI:10.3138/ijcs-2025-0003
  • Accession Number:189288604
  • Copyright Statement:Copyright of International Journal of Canadian Studies is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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