Candidate knowledge? Exploring epistemic claims in scientific writing: a corpus-driven approach

Garry L Plappert

Research output: Contribution to journalArticle

Abstract

In this article I argue that the study of the linguistic aspects of epistemology has become unhelpfully focused on the corpus-based study of hedging and that a corpus-driven approach can help to improve upon this. Through focusing on a corpus of texts from one discourse community (that of genetics) and identifying frequent tri-lexical clusters containing highly frequent lexical items identified as keywords, I undertake an inductive analysis identifying patterns of epistemic significance. Several of these patterns are shown to be hedging devices and the whole corpus frequencies of the most salient of these, candidate and putative, are then compared to the whole corpus frequencies for comparable wordforms and clusters of epistemic significance. Finally I interviewed a ‘friendly geneticist’ in order to check my interpretation of some of the terms used and to get an expert interpretation of the overall findings. In summary I argue that the highly unexpected patterns of hedging found in genetics demonstrate the value of adopting a corpus-driven approach and constitute an advance in our current understanding of how to approach the relationship between language and epistemology.

Original languageEnglish
JournalCorpora
VolumeAccepted
DOIs
Publication statusPublished - 1 Nov 2017

Fingerprint

epistemology
candidacy
interpretation
expert
linguistics
discourse
language
community
Scientific Writing
Hedging
Epistemology

Bibliographical note

The article has been accepted for publication by Edinburgh University Press in the journal (http://www.euppublishing.com/loi/cor).

Keywords

  • epistemology
  • hedging
  • corpus-driven
  • collocation
  • concordance
  • genetics

Cite this

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Candidate knowledge? Exploring epistemic claims in scientific writing : a corpus-driven approach. / Plappert, Garry L.

In: Corpora, Vol. Accepted, 01.11.2017.

Research output: Contribution to journalArticle

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T2 - a corpus-driven approach

AU - Plappert, Garry L

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AB - In this article I argue that the study of the linguistic aspects of epistemology has become unhelpfully focused on the corpus-based study of hedging and that a corpus-driven approach can help to improve upon this. Through focusing on a corpus of texts from one discourse community (that of genetics) and identifying frequent tri-lexical clusters containing highly frequent lexical items identified as keywords, I undertake an inductive analysis identifying patterns of epistemic significance. Several of these patterns are shown to be hedging devices and the whole corpus frequencies of the most salient of these, candidate and putative, are then compared to the whole corpus frequencies for comparable wordforms and clusters of epistemic significance. Finally I interviewed a ‘friendly geneticist’ in order to check my interpretation of some of the terms used and to get an expert interpretation of the overall findings. In summary I argue that the highly unexpected patterns of hedging found in genetics demonstrate the value of adopting a corpus-driven approach and constitute an advance in our current understanding of how to approach the relationship between language and epistemology.

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