93 research outputs found

    Eyes Wide Open: What Social Science Can Tell Us About the Supreme Court\u27s Use of Social Science

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    The Northwestern University Law Review’s 2017 Symposium asked whether McCleskey v. Kemp closed the door on social science’s ability to meaningfully contribute to equal protection deliberations. This inquiry is understandable; McCleskey is widely understood to have rendered statistical racial disparities doctrinally irrelevant in the equal protection context. We suggest, however, that this account overstates McCleskey and its doctrinal impact. Roughly fifteen years after McCleskey, Chief Justice William Rehnquist—himself part of the McCleskey majority—invoked admissions data to support his conclusion that the University of Michigan Law School unconstitutionally discriminated against white applicants. Chief Justice Rehnquist’s disparate treatment of statistical evidence in McCleskey and Grutter v. Bollinger reveals the doctrine’s under-determinacy and invites a corresponding inquiry: why do Justices rely on social science in some cases, yet reject it in others? We propose that one answer lies at the intersections of Critical Race Theory (CRT) and empirical scholarship on motivated social cognition. This “eCRT” lens illuminates how ostensibly neutral biases and heuristics, when informed by socially salient racial stereotypes, will predictably and systematically lead judges to overvalue “evidence” that rationalizes existing racial disparities and, as a result, author legal opinions that re-instantiate and legitimize the status quo

    Group-based Differences in Perceptions of Racism: What Counts, to Whom, and Why?

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    Abstract Belonging to a group fundamentally shapes the way we interpret and attribute the behavior of others. Similarly, perceptions of racism can be inf luenced by group membership. Experimental and survey research reveal disagreement between Whites and Blacks about the prevalence of racism in America. Several social cognitive factors contribute to this disagreement: discrepancies in Whites' and Blacks' lay intuitions about the attitudes and behaviors that count as racism, comparison standards when determining racial progress, and the salience of and meaning drawn from successful Black individuals in society. These perceptual discrepancies have consequences for policy attitudes, decisions about how best to combat racial inequality, and beliefs about whether inequality persists. Successful interventions that increase Whites' knowledge of structural racism and that attenuate self-image threat suggest that it is possible to converge Blacks' and Whites' perceptions of racism by expanding Whites' definition of racism. Consider the following situation: a White person boards a bus where a Black person is sitting next to the only remaining empty seat. Instead of sitting, the White person opts to stand. The reason for this behavior is ambiguous. Perhaps the White person was having a bad day and did not feel like sitting near anyone; perhaps they were only riding for a few stops and preferred to stand, or perhaps they were uncomfortable sitting next to a Black person. When, and for whom, does this person's behavior count as evidence of racism? Experimental and survey research reveal disagreements between White and Black individuals about the prevalence of racism in America. For example, 53% of Blacks report that discrimination against minority groups is a critical issue in America today, yet only 17% of Whites agree (Public Religion Research Institute, 2012). Social psychological research corroborates these findings. In one study, White and Black participants were asked to report how much Whites and Blacks were discriminated against in the 1950s, 1960s, and so on, spanning every decade through the 2000s These group-based differences in perception can cause misunderstanding and rifts among groups, particularly when it comes to interpretations of volatile issues of the day. For example, recent protests in Ferguson, MO after Darren Wilson, a White police officer, shot unarmed Black teenager, Michael Brown, have illuminated discrepancies between Black and White Americans' perception

    A Systematic Analysis of Cell Cycle Regulators in Yeast Reveals That Most Factors Act Independently of Cell Size to Control Initiation of Division

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    Upstream events that trigger initiation of cell division, at a point called START in yeast, determine the overall rates of cell proliferation. The identity and complete sequence of those events remain unknown. Previous studies relied mainly on cell size changes to identify systematically genes required for the timely completion of START. Here, we evaluated panels of non-essential single gene deletion strains for altered DNA content by flow cytometry. This analysis revealed that most gene deletions that altered cell cycle progression did not change cell size. Our results highlight a strong requirement for ribosomal biogenesis and protein synthesis for initiation of cell division. We also identified numerous factors that have not been previously implicated in cell cycle control mechanisms. We found that CBS, which catalyzes the synthesis of cystathionine from serine and homocysteine, advances START in two ways: by promoting cell growth, which requires CBS's catalytic activity, and by a separate function, which does not require CBS's catalytic activity. CBS defects cause disease in humans, and in animals CBS has vital, non-catalytic, unknown roles. Hence, our results may be relevant for human biology. Taken together, these findings significantly expand the range of factors required for the timely initiation of cell division. The systematic identification of non-essential regulators of cell division we describe will be a valuable resource for analysis of cell cycle progression in yeast and other organisms

    Validation of the Body Concealment Scale for Scleroderma (BCSS): Replication in the Scleroderma Patient-centered Intervention Network (SPIN) Cohort

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    © 2016 Elsevier Ltd Body concealment is an important component of appearance distress for individuals with disfiguring conditions, including scleroderma. The objective was to replicate the validation study of the Body Concealment Scale for Scleroderma (BCSS) among 897 scleroderma patients. The factor structure of the BCSS was evaluated using confirmatory factor analysis and the Multiple-Indicator Multiple-Cause model examined differential item functioning of SWAP items for sex and age. Internal consistency reliability was assessed via Cronbach's alpha. Construct validity was assessed by comparing the BCSS with a measure of body image distress and measures of mental health and pain intensity. Results replicated the original validation study, where a bifactor model provided the best fit. The BCSS demonstrated strong internal consistency reliability and construct validity. Findings further support the BCSS as a valid measure of body concealment in scleroderma and provide new evidence that scores can be compared and combined across sexes and ages

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∌99% of the euchromatic genome and is accurate to an error rate of ∌1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data
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