1811 research outputs found
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Racial Bias in Health Care Machine Learning Algorithms
Machine learning algorithms in healthcare are racially biased, especially when diagnosing patients and choosing candidates for care management programs.https://digitalcommons.hamilton.edu/posters/1014/thumbnail.jp
Your Past, My Present: The Underlying Mechanisms of Persisting Racial Health Disparities
The healthcare system in the United States of American is fraught with racism and discriminatory practices. Over time the racial health gap between white and Black folks continues to widen. To further explore how and why racial health disparities persist over time , I examine whether and how race and class inequalities contribute to intergenerational health disparities within Black communities. Additionally, I explore mechanisms responsible for the generational transmission of health disparities. Previous scholarship have indicated that Black folks have progressively worse health conditions relative to white people largely due to socioeconomic class inequalities. Although previous literature have shown the underpinnings of racial health inequalities, researchers fail to investigate whether and how these mechanisms extend across generations. Based on in-depth interviews of low-, middle-, and upper- class young Black adults, the study explores the role of neighborhood composition, client-provider relationships, and familial practices and involvement in healthcare. I find that quality healthcare resources are hoarded in white affluent neighborhoods, race and gender identity plays a large role in shaping the tone of client-provider relationships, and parental involvement and social class contribute to young adults’ seeking treatment. These findings suggest that racial health disparities persist over time through racial residential segregation, interpersonal and institutional racism, and the inheritance of cultural capital. These findings highlight that racial and class inequities not only shape health disparities for current generations , but they also may affect future generations access to quality healthcare
High Living: A Study of Social Predictors on College Student Marijuana Usage
Despite record-breaking rates of annual marijuana use among college students and an increasing number of states enacting recreational and medical marijuana legalization in the U.S, research on marijuana use among college students is fairly limited in limited in substantial areas. First, prior research has yet to measure various types of social determinants against marijuana use, as well as differentiate between lifetime and prolonged use. In this context, this study explores which social influences play a significant role in college students’ lifetime and habitual use. Specifically, this study investigates how peer influence, normative perceptions, and marijuana legalization influence the lifetime and habitual use of college students. Drawing upon survey data collected from undergraduate students at a college in the Northeast (n = 213), this study reveals significant associations between close friend marijuana use, perceived social acceptability of marijuana, perceptions of peer use, ease of marijuana access, and lifetime marijuana use. The use of classmates, close family members and friends, as well the perceived social acceptability of marijuana were all significantly associated with habitual use. Lastly, alcohol consumption mediated the effect of social influences on both lifetime and habitual use. Ultimately, this study reveals that associations between social influences and marijuana use are significant and worthy of further investigation. Moreover, the evidence suggests the necessity of distinguishing between lifetime and habitual use, as the motivations to try marijuana once or a few times in one’s life may not necessarily be predictive of prolonged use
Back Cover
Back cover illustration: Detail from the second engraved title page of the Martyr’s Mirror. Courtesy of the Muddy Creek Farm Library
Review of The Cinema of Rithy Panh: Everything Has a Soul
Review of The Cinema of Rithy Panh: Everything Has a Soul, by Leslie Barnes et Joseph Mai
Bias in Mortgage Approval Algorithms
In recent years, financial institutions are using machine learning algorithms for the mortgage approval process. Utilizing hundreds of complex variables, they decide whether an applicant gets approved. Recent studies have shown that people of color are disproportionately denied at higher rates for mortgages compared to White individuals.https://digitalcommons.hamilton.edu/posters/1003/thumbnail.jp
An Uncharted Union: The Shakers and the Amana Inspirationists
The common roots of the Shaker and Inspirationist movements, is a fact that, interestingly, neither group appears to have been aware of. This ignorance of common origins might be because although the Shakers have historically listed the French Prophets among their forbearers, the Inspirationists of Amana have never done so. The emerging doctrines of the Inspirationists and the Shakers provide an interesting contrast.
Inspiration played a powerful role in both communities. According to Shaker tradition, it was following a vision by Ann Lee that the English Shakers made the decision to immigrate to the New World in 1774. Similarly, testimonies delivered by Christian Metz encouraged the members to congregate on several rented estates in the religiously tolerant region of Hessen Darmstadt, then inspired over eight hundred members to migrate to New York State from 1843 to 1845, build the six villages of the Eben-Ezer Society, and establish a system of communal living that remained essentially unchanged for nearly ninety years.
Shortly after the Inspirationists arrived in New York they accidentally initiated contact with the Shakers. On Valentine’s Day in 1846, a visitor from Eben-Ezer, Elder Charles L. Mayer, who served as the Society’s general business agent, appeared at the Watervliet Shaker village. He had come to the village at the invitation of two Shakers that he had met while on business in nearby Albany.
The meeting led to a brief period of interaction between members of the two groups, but Inspirationist feelings about the position of Ann Lee scuttled any attempts for creating a “nearer acquaintance and connection” between the them
Cover
Front cover illustration: Charles Kennison, photographer. Rural Home, 1896. Courtesy of the Ayer Library
Discomfort through Disconnection: Hamilton College’s Online Portrayal of Students of Color
Hamilton College has a large and unique social media presence that includes depictions and portrayals of the college’s students of color. The manner in which students of color are portrayed holds inherent problems that, although not unique to Hamilton, are created by the actions of the college. In the midst of Hamilton College’s era of tracking diversity, equity, and inclusion efforts, this paper implicitly challenges the devotion to the DEI initiatives. To best understand the portrayal of students of color, interviews were conducted in conjunction with data analysis of the content featured on various Hamilton social media sites. Results from the participants and data analysis, although not entirely negative, call attention to various shortcomings from the college that all contribute to a lack of belonging on campus. Ultimately, this research found that the college must do more in collaboration with Hamilton students of color in order to portray them in the best manner on social media. Further, in everyday life, the college should be more connected with their students of color through discussion and participation