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Though qualitative research has become more prevalent in practice over the last 30 years, there is still considerable uncertainty among researchers regarding how to ensure inter-rater consistency when teams are tasked with coding qualitative data. In this article, we offer an explanation of a methodology that our qualitative team used to achieve systematic coding of our dataset in a way that preserved the contextual, subjective nature of the data, lent itself to the deductive and inductive creation of a layered codebook, and ensured consistent application of the codebook to varied types of data. This methodology prepared us to draw logical and substantiated conclusions during subsequent analyses; hence, the process serves as a welcome addition to the literature on consistently coding qualitative data in a manner that honors its defining characteristics.
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Stored only when both papers are in the corpus — 234 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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