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Combining rhetorical move analysis with multi-dimensional analysis

Research writing across disciplines
Authors: Bethany Gray; Elena Cotos; Jordan Smith;

Combining rhetorical move analysis with multi-dimensional analysis

Abstract

Abstract We carry out comprehensive form–function mapping in Introduction-Methods-Results-Discussion/Conclusion – structured research articles across 30 academic disciplines by merging move analysis (revealing rhetorical structure) and multi-dimensional (MD) analysis (modeling patterns of linguistic variation). These two analytic paradigms converge to map the communicative functions of text segments with patterns of functional linguistic variation, but the juxtaposition of these two approaches requires adaptations to the traditional MD methodology. The primary purpose of this chapter is to provide a detailed account of the methodological complexities of combining MD analysis and move analysis. We briefly present the results of the MD analysis, acknowledging that further methodological adjustments may be needed to arrive at an optimal multi-dimensional description of moves.

Country
United States
Related Organizations
Keywords

808, and Research, DegreeDisciplines::Education::Educational Assessment, DegreeDisciplines::Education::Higher Education, Evaluation, 400

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
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