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Examining Socio-Epistemic Language Patterns Across Disciplines

This research focuses on differentiating and measuring differences among academic disciplines through socio-epistemic language use. By analyzing how these language patterns evolve over time, we can discover disciplinary drift and observe how classifications interact across various genres and data sources. This study highlights the significance of adapting classification schemes to reflect ongoing changes in specialisms and emerging independent disciplines. The findings aim to contribute to a deeper understanding of academic languages and their impact on knowledge formation.

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Examining Socio-Epistemic Language Patterns Across Disciplines

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  1. Related Research Interests Differentiating and measuring difference among disciplines via patterns of socio-epistemic language use Ascertaining disciplinary drift in patterns of socio-epistemic language use over time

  2. Most Challenging Problems Mapping classifications to one another across genres/data sources Static classification schemes fail to reflect disciplinary changes over time (e.g. specialisms that become independent disciplines)

  3. Biography Bradford Demarest is a 3rd year doctoral student at Indiana University’s School of Informatics and Computing. Contact: bdemares@indiana.edu

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