Source for SCM Framework based on a Rotated Polar Approach computational-SCM
# computational-SCM
A computational approach to the Stereotype Content Model, as described in our paper [Computational Modelling of Stereotype Content in Text](https://www.frontiersin.org/articles/10.3389/frai.2022.826207/full).
The [Stereotype Content Model (SCM)](https://www.sciencedirect.com/science/article/pii/S1364661306003299) provides a theoretical basis for understanding human social cognition. It proposes that the two primary, universal dimensions underlying human stereotypes are *warmth* (friendliness, trustworthiness) and *competence* (ability, intelligence, skill). As a step towards automatically identifying and understanding stereotypes in text, we provide a computational model to estimate warmth and competence from free-text sentences.
Large parts of this codebase were created using LLMs (specifically claude-4-sonnet).
25 commits
Python
100.0%
Source for SCM Framework based on a Rotated Polar Approach computational-SCM
# computational-SCM
A computational approach to the Stereotype Content Model, as described in our paper [Computational Modelling of Stereotype Content in Text](https://www.frontiersin.org/articles/10.3389/frai.2022.826207/full).
The [Stereotype Content Model (SCM)](https://www.sciencedirect.com/science/article/pii/S1364661306003299) provides a theoretical basis for understanding human social cognition. It proposes that the two primary, universal dimensions underlying human stereotypes are *warmth* (friendliness, trustworthiness) and *competence* (ability, intelligence, skill). As a step towards automatically identifying and understanding stereotypes in text, we provide a computational model to estimate warmth and competence from free-text sentences.
Large parts of this codebase were created using LLMs (specifically claude-4-sonnet).
25 commits
Python
100.0%