[r/ML] [R] Beyond Prediction - Text Representation for Social Science (arxiv 2603.10130)

Summary

This perspective paper highlights a "prediction-measurement gap" in ML/NLP, arguing that text representations optimized for predictive tasks are often inadequate for scientific measurement, particularly in computational social science. It discusses what text representations would need to look like if treated as scientific instruments rather than just features for downstream tasks. The paper aims to reframe how researchers view and develop text representations for robust social science inquiry.

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