Cargando…
Thinking Structurally: A Cognitive Framework for Understanding How People Attribute Inequality to Structural Causes
To make accurate causal inferences about social-group inequalities, people must consider structural causes. Structural causes are a distinct type of extrinsic cause—they are stable, interconnected societal forces that systematically advantage some social groups and disadvantage others. We propose a...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938098/ https://www.ncbi.nlm.nih.gov/pubmed/35981099 http://dx.doi.org/10.1177/17456916221093593 |
_version_ | 1784890563840966656 |
---|---|
author | Amemiya, Jamie Mortenson, Elizabeth Heyman, Gail D. Walker, Caren M. |
author_facet | Amemiya, Jamie Mortenson, Elizabeth Heyman, Gail D. Walker, Caren M. |
author_sort | Amemiya, Jamie |
collection | PubMed |
description | To make accurate causal inferences about social-group inequalities, people must consider structural causes. Structural causes are a distinct type of extrinsic cause—they are stable, interconnected societal forces that systematically advantage some social groups and disadvantage others. We propose a new cognitive framework to specify how people attribute inequality to structural causes. This framework is rooted in counterfactual theories of causal judgment and suggests that people will recognize structural factors as causal when they are perceived as “difference-making” for inequality above and beyond any intrinsic causes. Building on this foundation, our framework makes the following contributions. First, we propose specific types of evidence that support difference-making inferences about structural factors: within-group change (i.e., observing that disadvantaged groups’ outcomes improve under better societal conditions) and well-matched between-group comparisons (i.e., observing that advantaged group members, who have similar baseline traits to the disadvantaged group, experience more favorable societal conditions and life outcomes). Second, we consider contextual, cognitive, and motivational barriers that may complicate the availability and acceptance of this evidence. We conclude by exploring how the framework might be applied in future research examining people’s causal inferences about inequality. |
format | Online Article Text |
id | pubmed-9938098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-99380982023-03-17 Thinking Structurally: A Cognitive Framework for Understanding How People Attribute Inequality to Structural Causes Amemiya, Jamie Mortenson, Elizabeth Heyman, Gail D. Walker, Caren M. Perspect Psychol Sci Article To make accurate causal inferences about social-group inequalities, people must consider structural causes. Structural causes are a distinct type of extrinsic cause—they are stable, interconnected societal forces that systematically advantage some social groups and disadvantage others. We propose a new cognitive framework to specify how people attribute inequality to structural causes. This framework is rooted in counterfactual theories of causal judgment and suggests that people will recognize structural factors as causal when they are perceived as “difference-making” for inequality above and beyond any intrinsic causes. Building on this foundation, our framework makes the following contributions. First, we propose specific types of evidence that support difference-making inferences about structural factors: within-group change (i.e., observing that disadvantaged groups’ outcomes improve under better societal conditions) and well-matched between-group comparisons (i.e., observing that advantaged group members, who have similar baseline traits to the disadvantaged group, experience more favorable societal conditions and life outcomes). Second, we consider contextual, cognitive, and motivational barriers that may complicate the availability and acceptance of this evidence. We conclude by exploring how the framework might be applied in future research examining people’s causal inferences about inequality. SAGE Publications 2022-08-18 2023-03 /pmc/articles/PMC9938098/ /pubmed/35981099 http://dx.doi.org/10.1177/17456916221093593 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Amemiya, Jamie Mortenson, Elizabeth Heyman, Gail D. Walker, Caren M. Thinking Structurally: A Cognitive Framework for Understanding How People Attribute Inequality to Structural Causes |
title | Thinking Structurally: A Cognitive Framework for Understanding How
People Attribute Inequality to Structural Causes |
title_full | Thinking Structurally: A Cognitive Framework for Understanding How
People Attribute Inequality to Structural Causes |
title_fullStr | Thinking Structurally: A Cognitive Framework for Understanding How
People Attribute Inequality to Structural Causes |
title_full_unstemmed | Thinking Structurally: A Cognitive Framework for Understanding How
People Attribute Inequality to Structural Causes |
title_short | Thinking Structurally: A Cognitive Framework for Understanding How
People Attribute Inequality to Structural Causes |
title_sort | thinking structurally: a cognitive framework for understanding how
people attribute inequality to structural causes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938098/ https://www.ncbi.nlm.nih.gov/pubmed/35981099 http://dx.doi.org/10.1177/17456916221093593 |
work_keys_str_mv | AT amemiyajamie thinkingstructurallyacognitiveframeworkforunderstandinghowpeopleattributeinequalitytostructuralcauses AT mortensonelizabeth thinkingstructurallyacognitiveframeworkforunderstandinghowpeopleattributeinequalitytostructuralcauses AT heymangaild thinkingstructurallyacognitiveframeworkforunderstandinghowpeopleattributeinequalitytostructuralcauses AT walkercarenm thinkingstructurallyacognitiveframeworkforunderstandinghowpeopleattributeinequalitytostructuralcauses |