The Open UniversitySkip to content
 

Implicit dialogical premises, explanation as argument: a corpus-based reconstruction

O'Halloran, Kieran (2009). Implicit dialogical premises, explanation as argument: a corpus-based reconstruction. Informal Logic, 29(1) pp. 15–53.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (286Kb)
Google Scholar: Look up in Google Scholar

Abstract

This paper focuses on an explanation in a newspaper article: why new European Union citizens will come to the UK from Eastern Europe (e.g., because of available jobs). Using a corpus-based method of analysis, I show how regular target readers have been positioned to generate premises in dialogue with the explanation propositions, and thus into an understanding of the explanation as an argument, one which contains a biased conclusion not apparent in the text. Employing this method, and in particular ‘corpus comparative statistical keywords’, I show how two issues can be freshly looked at: implicit premise recovery; the argument/explanation distinction.

Item Type: Journal Article
Copyright Holders: 2009 The Author
ISSN: 0824-2577
Keywords: argument; corpus-based analysis; corpus comparative statistical keyword; cultural keyword; explanation; implicit dialogical premise recovery; plausible fuzzy reasoning
Academic Unit/Department: Faculty of Wellbeing, Education and Language Studies (WELS) > Languages and Applied Linguistics
Faculty of Wellbeing, Education and Language Studies (WELS)
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Item ID: 26114
Depositing User: Kieran O'Halloran
Date Deposited: 03 Feb 2011 11:37
Last Modified: 02 Aug 2016 17:21
URI: http://oro.open.ac.uk/id/eprint/26114
Share this page:

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

▼ Automated document suggestions from open access sources

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk