Collaborative Research: Measuring Apparent Race and Ethnicity with Applications to the Study of Discrimination

合作研究：衡量明显种族和民族及其在歧视研究中的应用

• 批准号: 1659870
• 负责人: Marisa Abrajano
• 金额: $ 2.53万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-15 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659870&HistoricalAwards=false
• 关键词: Collaborative; Research; Measuring; Apparent; Race

This research project will advance the quantitative measurement of apparent race and ethnicity. Racial and ethnic categories often are thought of as natural, discrete, and mutually exclusive. A person is either, say, an African-American, an Asian-American, a European-American, or an Hispanic-American. But many people are of mixed ancestry or mixed identity. There is growing evidence that the societal discrimination and inequalities conventionally associated with racial and ethnic categories vary within those categories. This body of research has been limited, however, by serious measurement problems. The most widely used measure of skin color is not reliable, and there is no generally accepted method for quantifying racial or ethnic appearance beyond skin color. This project adapts statistical measurement models that have been used in many other domains to produce new, quantitative measures of racial and ethnic appearance. The investigators will develop open-source software for generating the measures. From a societal perspective, these results will have important implications for government agencies and courts of law. Phenotype discrimination, for example, is understood to be a civil rights violation. Judges, however, have struggled with and generally rejected such claims in practice, due to doubts about whether phenotype is something that can be measured objectively.This research project will test hypotheses about the robustness of new, quantitative measures of racial and ethnic appearance to variation in the dress and facial expressions of the persons being observed and to variation in the identity and mood of the persons doing the observing. The project is designed to answer questions that have long confounded academic researchers, government agencies, and courts of law: Is there a societal consensus about racial and ethnic appearance? To what extent does racial/ethnic appearance depend on physical attributes of the person being observed or on other factors, such as dress or socioeconomic status of the person being observed? The investigators will examine whether different ways of eliciting race/ethnicity perceptions (e.g., perceived skin color, perceived stereotypicality, and perceived ancestry) yield measures that are congruent across different populations of observers and robust to variation in the apparent status and attitudes of the person being observed and the mood of the observer.

这一研究项目将促进对明显种族和族裔的定量测量。种族和民族类别通常被认为是自然的，离散的，相互排斥的。比如说，一个人可以是非洲裔美国人、亚裔美国人、欧洲裔美国人或西班牙裔美国人。但许多人是混合血统或混合身份。越来越多的证据表明，传统上与种族和民族类别相关的社会歧视和不平等在这些类别中有所不同。 然而，这一研究机构受到严重测量问题的限制。最广泛使用的肤色测量是不可靠的，没有普遍接受的方法来量化肤色以外的种族或民族外观。该项目采用了已在许多其他领域使用的统计测量模型，以产生新的种族和民族外观的定量测量。研究人员将开发开源软件来生成测量结果。从社会的角度来看，这些结果将对政府机构和法院产生重要影响。例如，表型歧视被认为是对公民权利的侵犯。 然而，法官们在实践中一直在与这种说法作斗争，并普遍拒绝这种说法，因为他们怀疑表型是否是可以客观测量的东西。本研究项目将测试有关种族和民族外观的新的定量测量方法对被观察者的着装和面部表情变化以及进行观察的人的身份和情绪变化的稳健性的假设。该项目旨在回答长期困扰学术研究人员，政府机构和法院的问题：关于种族和民族外观是否存在社会共识？种族/民族外貌在多大程度上取决于被观察者的身体特征或其他因素，如被观察者的着装或社会经济地位？研究人员将检查是否有不同的方式引起种族/民族的看法（例如，感知的肤色、感知的刻板性和感知的祖先）产生在不同的观察者群体中一致的测量，并且对于被观察者的明显状态和态度以及观察者的情绪的变化是鲁棒的。