The (Un)imagined Work of Linguistic Inclusion copertina

The (Un)imagined Work of Linguistic Inclusion

The (Un)imagined Work of Linguistic Inclusion

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In this episode of the Language on the Move Podcast, Emily Pacheco speaks with PhD candidate Brynn Quick (Macquarie University, Australia) about her 2025 paper, The (un)imagined work of determining patients’ English language proficiency. The conversation focuses on language policies in healthcare, the monolingual logic, and language access. Quick, B., Piller, I., & Lising, L. (2025). The (un)imagined work of determining patients’ English language proficiency. Journal of Multilingual and Multicultural Development, 1-18. https://doi.org/10.1080/01434632.2025.2594462 Abstract. This study investigates how Australian healthcare policies imagine communication between limited English proficiency (LEP) patients and healthcare providers to occur. This is done through a work as imagined (WAI) vs. work as done (WAD) analysis of 13 Australian medical policies from four levels of governance. Findings reveal that policies mostly conceptualise the work of determining if a patient needs a professional interpreter as an act of self-assessment that patients will do themselves. When policies direct healthcare staff to assess patients’ English language proficiency, they often instruct staff to ‘determine if the patient can understand English’, usually without clear instruction on how to do this. Finally, while communication is the goal that drives many of these policies, ‘successful’ communication is conceptualised as language-neutral, implicitly privileging English and erasing LEP patients’ language needs. These findings reflect a novel way of framing policies’ monolingual logic of WAI within the multilingual reality of WAD and mark an innovative contribution to the study of language access rights. For additional resources, show notes, and transcripts, go here. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/language
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