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Appearance Discrimination in Grading? - Evidence from Migrant Schools in China

机译:分级的外观歧视? - 来自中国农民学校的证据

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摘要

Using appearance scores created by facial-recognition and machine-learning programs that incorporate tens of thousands of individuals' appearance preferences, we find in China's migrant schools that students' appearance has a statistically significant and positive effect on their teachers' evaluation of their exam performance, even after netting out the influences of important confounders such as physical growth, cognitive ability, mental health status, family background, and school quality. (C) 2019 Elsevier B.V. All rights reserved.
机译:使用由面部识别和机器学习计划创建的外观分数,该计划包含成千上万的个人外观偏好,我们发现在中国的移民学校,学生的外表对他们的教师对考试表现的评价有统计显着和积极影响,即使在净出来的影响诸如物理生长,认知能力,心理健康状况,家庭背景和学校质量等重要混乱的影响。 (c)2019 Elsevier B.v.保留所有权利。

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