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

Reddit r/MachineLearning / 3/12/2026

💬 OpinionIdeas & Deep Analysis

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Key Points

The paper argues that representations optimized for prediction are not automatically suitable as measurement tools in computational social science and psychology, highlighting a prediction–measurement gap.
It frames text representations as scientific instruments and discusses the properties they would need to support reliable measurement rather than downstream task performance alone.
It compares static versus contextual representations from a measurement-centric perspective, weighing implications for interpretability and replicability.
It sketches a measurement-oriented research agenda to guide future work in developing representations that support scientific measurement in social science and psychology.

A perspective paper on something I think ML/NLP does not discuss enough: representations that are good for prediction are not necessarily good for measurement. In computational social science and psychology, that distinction matters a lot.

The paper frames this as a prediction–measurement gap and discusses what text representations would need to look like if we treated them as scientific instruments rather than just features for downstream tasks. It also compares static vs contextual representations from that perspective and sketches a measurement-oriented research agenda.

submitted by /u/Hub_Pli
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