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The present study introduces a research approach that combines corpus-linguistic and discourse-analytic perspectives to analyze the discourse patterns in a large corpus of biology research articles. The primary goals of the study are to identify vocabulary-based Discourse Units (DUs) using computational techniques, to describe the basic types of DUs in biology research articles as distinguished by their primary linguistic characteristics (using Multi-Dimensional analysis), to interpret those Discourse Unit Types in functional terms, and to then illustrate how the internal organization of a text can be described as a sequence of DUs, shifting among various Discourse Unit Types.
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Stored only when both papers are in the corpus — 101 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.