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Ethical Use of Machine Learning in Higher Education Admission
Get PDFA machine learning model called GRADE was used for PhD admission at UT Austin from the year 2013-2020. The model was trained a small set of past admission decisions which are already bias and was used immediately without further tuning or human validation. The model will score all applicants and the decision is made without further human assessment for applicants with the highest and lowest score. Only 362/588 full human reviews are conducted with a few people admitted and the majority of the rest being rejected by algorithm.https://digitalcommons.hamilton.edu/posters/1017/thumbnail.jp
Imperfect Mirror: Affect, ethics, and homage in E.M. Forster’s Howards End and Zadie Smith’s On Beauty
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No full textFront cover illustration: The second engraved title page of the Martyr’s Mirror. Courtesy of the Muddy Creek Farm Library
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Get PDFFront cover illustration: Ann O’Delia Diss Debar, who used various aliases during her life of crime, including “Mother Elinor.
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Get PDFInformation relating to the publisher, publication frequency, editorial staff, purchase options, submission requirements, and contact information for the American Communal Societies Quarterly
Reframing the Achievement Gap in Mathematics Education
Get PDFMuch of math education research focuses on a so-called “achievement gap” measured by test scores and similar quantitative measures of “success.” By framing issues of equity in this way, methods to remedy the gap often require subordinated groups to become more like the “higher achieving” group. In other areas of study, we have been quicker to incorporate sociopolitical lenses into teaching and learning with an emphasis on identity and power. Such a sociopolitical turn could help us rethink what it means for math education to be truly equitable.https://digitalcommons.hamilton.edu/posters/1008/thumbnail.jp
A Personal Approach to Navigating and Understanding Differing Perspectives on Mental Health and Help-seeking Behaviors
No full textMental health is a topic of increasing relevance in the 21st century. While this topic is becoming more prevalent in society it is also becoming an even bigger issue, especially among young adults through the media. In attempting to understand this topic, it is important to note that there are ongoing hidden disparities in the utilization of mental health resources. There are social factors in an individual’s life that can alter the decisions one makes towards their health, which is why these factors are a vital aspect when investigating the disparities in mental health resource utilization. The purpose of this study is to take a personal approach to interrogating different perspectives towards mental health and help-seeking behavior. This study draws upon in-depth interview data collected from 12 young adults. Analysis of qualitative data reveals four main findings: 1) Religion is a key determinant of utilization and beliefs regarding mental health resources, 2) Lower levels of educational attainment in the household produce less favorable attitudes toward mental health, 3) Certain cultural practices/acculturation can make BIPOC less willing to talk about their mental health and seek mental health resources, and 4) Gender identity influences mental health attitudes and help-seeking behaviors due to gendered expectations concerning with emotions. In hopes of amplifying the unique experiences of people form diverse backgrounds; this study highlights the hidden demographic factors that can impact how an individual perceives mental health and utilizes mental health resources. By investigating demographic factors (class status, culture, religion, and gender identity) and their hidden roles in influencing attitudes towards mental health, these findings help to refine and extend classis sociological theory, and hold the potential to inform policy recommendations for improving mental health awareness, marketing, and overall accessibility to varying populations
Front Matter
No full textInformation relating to the publisher, publication frequency, editorial staff, purchase options, submission requirements, and contact information for the American Communal Societies Quarterly
