Leveraging Large Language Models for Career Mobility Analysis: A Study of Gender, Race, and Job Change Using U.S. Online Resume Profiles

This article describes a research study using Large Language Models (LLMs) to analyze career mobility, focusing on factors like gender, race, and job changes using U.S. online resume data. The study's focus on demographic factors suggests an investigation into potential biases or disparities in career progression. The use of LLMs implies an attempt to automate and scale the analysis of large datasets of resume information, potentially uncovering patterns and insights that would be difficult to identify manually.

• •Uses LLMs to analyze career mobility.
• •Focuses on gender, race, and job changes.
• •Uses U.S. online resume profiles.
• •Aims to identify patterns and potential biases.