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相关概念视频

Stereotypes, Prejudice, and Discrimination02:55

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Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
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Ethnic Identity within a Larger Culture01:27

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Adolescents from ethnic minority backgrounds face a multifaceted journey in forming their identities, shaped by the intersections of cultural expectations and personal exploration. For these adolescents, identity formation involves not only typical developmental challenges but also navigating the perceptions and attitudes of the majority culture. As they grow, adolescents in ethnic minority groups often become increasingly aware of stereotypes, social biases, and discrimination, all of which...
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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Structuralism01:26

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Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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数据现代化缺少什么? 重点关注结构性种族主义

Jamila M Porter1, Brian C Castrucci1, Jacquelynn Y Orr2

  • 1Office of the CEO, de Beaumont Foundation, Bethesda, Maryland, USA.

Health equity
|November 1, 2023
PubMed
概括
此摘要是机器生成的。

公共卫生数据现代化必须拆除结构性种族主义. 整合六个原则可以确保公平的数据生态系统,社区治理和对人口健康的政策变化.

关键词:
社区力量 社区力量数据正义数据正义数据现代化数据现代化卫生公平性健康公平性公共卫生公共卫生.结构性种族主义是结构性种族主义.

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科学领域:

  • 公共卫生 公共卫生
  • 数据科学数据科学数据科学
  • 健康 公平 卫生 公平

背景情况:

  • 公共卫生数据现代化举措往往忽视了结构性种族主义的影响.
  • 现有的数据生命周期可能会延续种族不平等.
  • 需要采取全面的方法来解决公共卫生数据中的系统性问题.

研究的目的:

  • 概述现代化公共卫生数据系统的原则.
  • 在数据实践中强调反种族主义和正义的整合.
  • 引导政府机构在创建公平的数据生态系统方面提供指导.

主要方法:

  • 概念框架的发展.
  • 关于结构性种族主义和数据治理的文献综述.
  • 对公平的数据现代化原则的综合.

主要成果:

  • 数据现代化的六个核心原则:拆除结构性种族主义,以正义为中心,社区数据治理,推动人口层面的变化,参与非营利组织,并确保政府承诺.
  • 强调政府机构在领导和资助这些变革方面发挥的关键作用.

结论:

  • 公共卫生数据现代化必须明确地解决和拆除结构性种族主义.
  • 实施这些原则对于创建公正和公平的数据生态系统至关重要.
  • 政府的承诺对于公共卫生数据的政策和实践变化至关重要.