Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Migrants in the Midst of the Covid-19 Pandemic

A

Bibliographic Data

ID15537620
AuthorsAriane Macalinga Borlongan (0000-0003-2734-2265, Tokyo University of Foreign Studies, corresponding author)
Year2022
Volume19
Issue4
Pages501-508
Publication date2022-07-29
Open AccessYes
TypeARTICLE
VenueMIGRATION LETTERS (JOURNAL)
Journal identifiersISSN: 1741-8984 • E-ISSN: 1741-8992
PublisherDewspublication (PUBLISHER)
DOI10.33182/ml.v19i5.1616
OpenAlexW4288705728
LanguageEN
Citations received1

In this article, I discuss the various issues confronting migrants in the midst of the ongoing COVID-19 pandemic, in particular, the language issues which they encounter. And then, I point out lessons to be learned from these issues and draw implications and suggest recommendations relating to language in the context of migration, ultimately outlining a ‘crisis and emergency language competence and plan for migrants’. I argue that there is a great need to reflect on and rethink how language and language resources are used in times during the COVID-19 pandemic in view of the migrants around the world. In this article, I therefore conjecture on the pandemic from a migration linguistic perspective, an interdisciplinary and multidimensional approach to the study of language in the context of migration

Context (archaeology · Coronavirus disease 2019 (COVID-19 · Pandemic · Perspective (graphical · Political science · Sociology · Computer Science · Education and experiences of immigrants and refugees · History · Medicine · Migration and Labor Dynamics · Migration, Refugees, and Integration

  • Migration linguistics

    Open Access•Ariane Macalinga Borlongan•AILA Review•2023

Citations per year0.33
Citation span2023 - 2023 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae