Michael T. Hannan
Sociological Science December 16, 2022
10.15195/v9.a19
Abstract
Which individuals and corporate actors belong in a collective, and who decides? Sociology has not had good analytical tools for addressing these questions. Recent work that adapts probabilistic representations of concepts and probabilistic categorization to sociological research opens opportunities for making progress on the measurement of memberships. It turns out that the probabilistic cognitive-based reformulation reveals unexpected connections to language models and natural-language processing. In particular, the leading probabilistic classifier BERT provides new and powerful ways to measure core concepts.
Which individuals and corporate actors belong in a collective, and who decides? Sociology has not had good analytical tools for addressing these questions. Recent work that adapts probabilistic representations of concepts and probabilistic categorization to sociological research opens opportunities for making progress on the measurement of memberships. It turns out that the probabilistic cognitive-based reformulation reveals unexpected connections to language models and natural-language processing. In particular, the leading probabilistic classifier BERT provides new and powerful ways to measure core concepts.
 | This work is licensed under a Creative Commons Attribution 4.0 International License. |
- Citation: Hannan, Michael T. 2022. “Measuring Memberships in Collectives in Light of Developments in Cognitive Science and Natural-Language Processing.” Sociological Science 9:473-492.
- Received: August 8, 2022
- Accepted: September 28, 2022
- Editors: Ari Adut, Ray Reagans
- DOI: 10.15195/v9.a19
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