Embedding qualitative data in LLM semantic space: A tutorial on conceptualization, measurement, and validation

Large language model embeddings give any text coordinates in a semantic space, where the cosine between two coordinates indexes their similarity. Standard qualitative practice cannot quantify such closeness: open-ended answers become nominal variables, which represent only difference under dummy cod