Gabriel Dupre
Idealisation in semantics: truth-conditional semantics for radical contextualists
Dupre, Gabriel
Authors
Abstract
In this paper, I shall provide a novel response to the argument from context-sensitivity against truth-conditional semantics. It is often argued that the contextual influences on truth-conditions outstrip the resources of standard truth-conditional accounts, and so truth-conditional semantics rests on a mistake. The argument assumes that truth-conditional semantics is legitimate if and only if natural language sentences have truth-conditions. I shall argue that this assumption is mistaken. Truth-conditional analyses should be viewed as idealised approximations of the complexities of natural language meaning. From this perspective, disparity between the scientific model and its real-world target is to be expected. I elaborate on what such an approach to semantics would look like.
Citation
Dupre, G. (2020). Idealisation in semantics: truth-conditional semantics for radical contextualists. Inquiry, 1 - 30. https://doi.org/10.1080/0020174X.2020.1712225
Acceptance Date | Dec 10, 2019 |
---|---|
Publication Date | Jan 9, 2020 |
Journal | Inquiry |
Print ISSN | 0020-174X |
Publisher | Routledge |
Pages | 1 - 30 |
DOI | https://doi.org/10.1080/0020174X.2020.1712225 |
Public URL | https://keele-repository.worktribe.com/output/421720 |
Publisher URL | https://www.tandfonline.com/doi/full/10.1080/0020174X.2020.1712225?needAccess=true |
You might also like
(What) Can Deep Learning Contribute to Theoretical Linguistics? (vol 31, pg 617, 2021)
(2022)
Journal Article
Linguistic intuitions: Evidence and method
(2021)
Journal Article
Empiricism, syntax, and ontogeny
(2021)
Journal Article
Reference and morphology*
(2022)
Journal Article
Public language, private language, and subsymbolic theories of mind
(2022)
Journal Article
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search