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In the ever-evolving landscape of research, the integration of artificial intelligence (AI) has ushered in a new era of data collection and analysis, particularly in qualitative research. Traditionally, qualitative research has been characterized by labor-intensive processes, including manual data collection and time-consuming analysis. However, AI-powered tools have revolutionized these practices, offering researchers, including students at various academic levels, efficient and powerful methods for data collection, screening, and analysis. In this chapter, the authors embark on an exciting journey to explore myriad possibilities of utilizing different AI tools to streamline the qualitative research process.
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Stored only when both papers are in the corpus — 10 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.