JOURNAL ARTICLE

When legal interpretation is not about language: The curious case of Lidia Poët.

  • Published In: Journal of Argumentation in Context, 2024, v. 13, n. 1. P. 131 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Spaić, Bojan; Isibor, Roberto 3 of 3

Abstract

Linguistic arguments are paramount in legal interpretation. They are widely used by judges and considered to be ubiquitous across jurisdictions. It is claimed that they are decisive and limitative in the judicial interpretation of the law. The claims have long been subject to theoretical scrutiny and, recently, testing within experimental jurisprudence. In this paper, we analyse the judicial reasoning in a landmark Italian case from the end of the nineteenth century concerning Lidia Poët, an aspiring practising female lawyer. The case was decided in the last instance by the Turin Court of Cassation. We give a detailed argumentative analysis of the reasoning of the Court of Cassation in Turin in the Lidia Poët case and show that the crucial linguistic and systematic arguments used are not grounds for the interpretative decision to exclude women from the denotation of the word "lawyer." We conclude that the linguistic arguments employed by courts often do not do the argumentative work they are expected to do. Instead, they cover the substantial views that have determined the ascription of normative meaning to a term or sentence. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Argumentation in Context. 2024/01, Vol. 13, Issue 1, p131
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2024
  • ISSN:2211-4742
  • DOI:10.1075/jaic.00025.isi
  • Accession Number:177324901
  • Copyright Statement:Copyright of Journal of Argumentation in Context is the property of John Benjamins Publishing Co. 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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