Corpus-Assisted Discourse Studies
Corpus-Assisted Discourse Studies (CADS) is a mixed-methods approach that combines the quantitative power of corpus linguistics with the interpretive depth of discourse analysis to investigate how meanings, evaluations, and ideologies are constructed across large collections of text. Pioneered by Alan Partington and colleagues, CADS uses corpus techniques such as keyness, collocation, and concordancing to identify patterns no analyst could find by reading alone, then 'shunts' back to close qualitative reading to interpret what those patterns mean in their discursive context.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Partington, A., Duguid, A., & Taylor, C. (2013). Patterns and Meanings in Discourse: Theory and Practice in Corpus-Assisted Discourse Studies (CADS). John Benjamins. · ISBN 9789027203885
- Baker, P., Gabrielatos, C., KhosraviNik, M., Krzyżanowski, M., McEnery, T., & Wodak, R. (2008). A useful methodological synergy? Combining critical discourse analysis and corpus linguistics to examine discourses of refugees and asylum seekers in the UK press. Discourse & Society, 19(3), 273–306. · DOI 10.1177/0957926508088962
- Partington, A. (2004). Corpora and discourse, a most congruous beast. In A. Partington, J. Morley, & L. Haarman (Eds.), Corpora and Discourse (pp. 11–20). Peter Lang. · ISBN 9783039102488
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.