Facets of Indescribability: The Case of COVID 19 Narratives
The difficulty of expressing or describing through language (the unsayable or the indescribable) has been a relatively overlooked topic in the field of linguistics until quite recently, despite being a frequent and relevant experience in various communicative situations. In this paper, I first aim t...
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
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Facultad de Filosofía y Letras, Universidad de Buenos Aires
2025
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| Acceso en línea: | https://revistascientificas.filo.uba.ar/index.php/filologia/article/view/17341 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=filologia&d=17341_oai |
| Aporte de: |
| Sumario: | The difficulty of expressing or describing through language (the unsayable or the indescribable) has been a relatively overlooked topic in the field of linguistics until quite recently, despite being a frequent and relevant experience in various communicative situations. In this paper, I first aim to present some contributions and discussions that have taken place within the framework of conversational analysis in the German language (Gülich, 2020), specifically focused on the study of conversations between doctors and patients suffering from epilepsy. Secondly, building on this foundation, I seek to delve into and shed light on some of the different facets of indescribability, drawing on reflections based on lexicographic resources and, fundamentally, on the analysis of various illness narratives produced by Rioplatense Spanish speakers suffering from COVID 19. The qualitative and exemplary analysis, guided by the theoretical-methodological developments of a particular approach to discourse analysis with a linguistic imprint (Gülich and Kotschi, 1995; Gülich, 2007), allows for the proposition that indescribability, understood both as a formulation resource and as a generic characteristic, could be considered a predominant attribute of these narratives about the experience of suffering from COVID 19, a thesis that should be tested on a larger corpus. |
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