Linguistic anthropology is the subfield that lies at the intersection of the language sciences and the social sciences, and elucidates the complex relationships between language and culture.  At Wayne State, Dr. Stephen Chrisomalis heads the linguistic anthropology faculty and is the departmental liaison to the interdisciplinary Linguistics program.    Dr. Chrisomalis is currently leading the following ongoing research projects in linguistic anthropology:

Exploring Mathematical Cultures at Math Corps: A multi-year ethnographic study of the Math Corps program at Wayne State University using methods from cognitive anthropology, discourse analysis, and conceptual metaphor theory.  The project aims to understand how linguistic features of the community of practice at the Math Corps contributes to student confidence and improved mathematical outcomes.

Sociolinguistic Transformations in Modern English Numerals: A corpus-based sociolinguistic and historical analysis of changes in the English number system relating to technological, educational, and linguistic changes in Modern English (1800 - present).  In contrast to traditional views that regard numerals as a conservative aspect of the lexicon, this study aims to demonstrate how changes in number systems reflect their social and historical context.

Stop: Toutes Directions: A multi-year visual and linguistic survey of bilingualism and linguistic identity in Montreal, Quebec, Canada through a geospatial analysis of stop signs in the linguistic landscape.   Quebec's language laws are strong and hotly debated, and this study is the first empirical evaluation of French and English signage practices. (project web site)

Understanding cognitive models of quantification, risk, and uncertainty in the management of prostate cancer: An ethnographic investigation of cultural and cognitive dimensions relating to numbers and quantification in prostate cancer diagnosis and treatment.  This new research helps us understand how doctors and patients understand and deploy numbers such as the PSA score in complex and uncertain diagnostic contexts.

 

 

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