Tools for analyzing global career mobility data using tidyverse workflows.
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Updated
Jan 19, 2026 - R
Tools for analyzing global career mobility data using tidyverse workflows.
Source code for the data analysis and models, including the FewSOC prompting framework for O*NET-SOC classification, used in the paper "Leveraging Large Language Models for Career Mobility Analysis: A Study of Gender, Race, and Job Change Using U.S. Online Resume Profiles."
Current historical studies of career mobility often focus on linkage of personal records such as baptism records. More qualitative sources, such as biographies contain vital information as well, but are labour intensive to process. We propose a combination of Robust Semantic Parsing and Linked Data conversion tools to automatically derive career…
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