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This study explores the potential of the AI chatbot ChatGPT to supplement human-centered tasks such as qualitative research analysis. The study compares the emergent themes in human and AI-generated qualitative analyses of interviews with guaranteed income pilot recipients. The results reveal that there are similarities and differences between human and AI-generated analyses, with the human coders recognizing some themes that ChatGPT did not and vice versa. The study concludes that AI like ChatGPT provides a powerful tool to supplement complex human-centered tasks, and predicts that such tools will become an additional tool to facilitate research tasks. Future research could explore feeding raw interview transcripts into ChatGPT and incorporating AI-generated themes into triangulation discussions to help identify oversights, alternative frames, and personal biases.
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Stored only when both papers are in the corpus — 146 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.