What do Large Language Models ‘think’ determines occupational prestige?

TY - UNPB

T1 - What do Large Language Models ‘think’ determines occupational prestige?

AU - de Vries, Robert

AU - Hill, Mark

AU - Ruis, Laura

PY - 2024

Y1 - 2024

N2 - In this paper we ask a Large Language Model (GPT-4o) to rate the social status associated with a list of common occupations. We then ask it to justify these judgements. Based on the rationale that the associations present in Large Language Models represent a reflection of human opinions and biases, we analyse the model’s responses in relation to existing theory and evidence on the determinants of occupational prestige. This is a companion project to our project using LLMs to develop an occupational prestige scale

AB - In this paper we ask a Large Language Model (GPT-4o) to rate the social status associated with a list of common occupations. We then ask it to justify these judgements. Based on the rationale that the associations present in Large Language Models represent a reflection of human opinions and biases, we analyse the model’s responses in relation to existing theory and evidence on the determinants of occupational prestige. This is a companion project to our project using LLMs to develop an occupational prestige scale

U2 - 10.31235/osf.io/57tzm

DO - 10.31235/osf.io/57tzm

M3 - Working paper

BT - What do Large Language Models ‘think’ determines occupational prestige?

ER -