Skip to main content
padlock icon - secure page this page is secure

Multi-Dimensional Analysis, text constellations, and interdisciplinary discourse

Buy Article:

$31.57 + tax (Refund Policy)

Abstract

Multi-Dimensional Analysis (MDA) has been widely used to explore register variation. This paper reports on a project using MDA to explore the features of an interdisciplinary academic domain. Six dimensions of variation are identified in a corpus of 11,000 journal articles in environmental studies. We then focus on articles in one interdisciplinary journal, Global Environmental Change (GEC). It is expected that these articles will diverge sufficiently to produce differences that are analogous to register differences. Instead of identifying these “registers” on external criteria, we use the dimensional profiles of individual texts to identify ‘constellations’ of texts sharing combinations of features. Six such constellations are derived, consisting of texts with commonalities in their approaches to research: the development of predictive models; quantitative research; discussions of theory and policy; and human-environment studies focusing on individual voices. The identification of these constellations could not have been achieved through an a priori categorisation of texts.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Multi-Dimensional Analysis; interdisciplinary discourse; text constellations

Document Type: Research Article

Publication date: September 22, 2017

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more