AIMC Topic: Stereotyping
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The Origins of Social Categorization.
Trends in cognitive sciences
May 9, 2017
Forming conceptually-rich social categories helps people to navigate the complex social world by allowing them to reason about the likely thoughts, beliefs, actions, and interactions of others, as guided by group membership. Nevertheless, social cate...
Programming experience promotes higher STEM motivation among first-grade girls.
Journal of experimental child psychology
Apr 21, 2017
The gender gap in science, technology, engineering, and math (STEM) engagement is large and persistent. This gap is significantly larger in technological fields such as computer science and engineering than in math and science. Gender gaps begin earl...
Tracking and simulating dynamics of implicit stereotypes: A situated social cognition perspective.
Journal of personality and social psychology
Sep 19, 2016
Adopting a situated social cognition perspective, we relied on different methodologies-1 computational and 3 empirical studies-to investigate social group-related specificities pertaining to implicit gender-domain stereotypes, as measured by a mouse-...
[Medial Stigmatization of Mentally Ill Persons after the "Germanwings"-Crash].
Psychiatrische Praxis
Feb 9, 2016
OBJECTIVE: The present study was designed to investigate the frequency of media stigmatization of mentally ill persons after the crash of the "Germanwings"-aircraft on March 2015.
Modeling the dynamics of evaluation: a multilevel neural network implementation of the iterative reprocessing model.
Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc
Aug 28, 2014
We present a neural network implementation of central components of the iterative reprocessing (IR) model. The IR model argues that the evaluation of social stimuli (attitudes, stereotypes) is the result of the IR of stimuli in a hierarchy of neural ...
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2025
OBJECTIVE: To detect and classify features of stigmatizing and biased language in intensive care electronic health records (EHRs) using natural language processing techniques.
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