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Bias, The Brain, And Student Evaluations Of Teaching, Deborah J Merritt
Bias, The Brain, And Student Evaluations Of Teaching, Deborah J Merritt
ExpressO
Student evaluations of teaching are a common fixture at American law schools, but they harbor surprising biases. Extensive psychology research demonstrates that these assessments respond overwhelmingly to a professor’s appearance and nonverbal behavior; ratings based on just thirty seconds of silent videotape correlate strongly with end-of-semester evaluations. The nonverbal behaviors that influence teaching evaluations are rooted in physiology, culture, and habit, allowing characteristics like race and gender to affect evaluations. The current process of gathering evaluations, moreover, allows social stereotypes to filter students’ perceptions, increasing risks of bias. These distortions are inevitable products of the intuitive, “system one” cognitive processes …
Who’S In And Who’S Out? Can India’S Answer Help Us Determine Who Qualifies For Affirmative Action? , Sean A. Pager
Who’S In And Who’S Out? Can India’S Answer Help Us Determine Who Qualifies For Affirmative Action? , Sean A. Pager
ExpressO
Who should be the beneficiaries of racially targeted affirmative action? In its Croson decision, the Supreme Court answered part of the “Who Question” when it conditioned affirmative action eligibility on underrepresentation. What the Court did not tell us was underrepresentation of whom? The Court thus instructs us to select beneficiary groups by counting heads, but leaves open which heads get counted where and what categories to use.
By artificially separating what are necessarily related inquiries, the Court left a definitional lacuna that lower courts have struggled to fill. Such definitional issues matter because they often determine who benefits from affirmative …
Race Against The Machine: An Argument For The Standardization Of Voting Technology, Jason Belmont Conn
Race Against The Machine: An Argument For The Standardization Of Voting Technology, Jason Belmont Conn
ExpressO
In this article/note, I examine a lingering question from the court cases arising out of the 2000 election: Does Bush v. Gore and the relevant equal protection case law open the door for a legal challenge to a state’s use of different voting machines/technologies and how do racial disparities in machine error rates impact this analysis? In addition to reviewing the current literature and case law on voting machine standardization, I also present an unrecognized and undocumented connection between the “all deliberate speed” order in Brown and the Court’s discussion of voting technology in Bush v. Gore.