The detection and analysis of misunderstandings are crucial aspects of discourse analysis, and presuppose a twofold investigation of their structure. First, misunderstandings need to be identified and, more importantly, justified. For this reason, a classification of the types and force of evidence of a misunderstanding is needed. Second, misunderstandings reveal differences in the interlocutors’ interpretations of an utterance, which can be examined by considering the presumptions that they use in their interpretation. This paper proposes a functional approach to misunderstandings grounded on presumptive reasoning and types of presumptions, in which incompatible interpretations or interpretative failures are examined as defaults of the underlying interpretative reasoning, caused by overlooked evidence or conflicting presumptions. Moreover, it advances a classification of the types and the probative weights of the evidence that can be used to detect misunderstandings. The proposed methodology and its implications are illustrated through the analysis of doctor–patient communication in diabetes care.
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Cited by (7)
Cited by seven other publications
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2022. Coding empathy in dialogue. Journal of Pragmatics 192 ► pp. 116 ff.
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2020. Considering Mono- and Multilingual Interactions on a Continuum: An Analysis of Interactions in Medical Settings. In Multilingual Healthcare [FOM-Edition, ], ► pp. 11 ff.
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Rossi, Maria Grazia & Fabrizio Macagno
2020. Coding Problematic Understanding in Patient–provider Interactions. Health Communication 35:12 ► pp. 1487 ff.
Macagno, Fabrizio & Maria Grazia Rossi
2019. Metaphors and problematic understanding in chronic care communication. Journal of Pragmatics 151 ► pp. 103 ff.
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