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(Dis)articulating morality and myth: an ideological history of the insanity defense

Description
Both law and medicine are interpretive practices, and both systems have historically worked in tandem, however ineffectively or tumultuously. The law is, by social mandate, imagined as a "fixed" system of social control, made up of rules and procedures grounded in a reality that is independent of language; although we…

Both law and medicine are interpretive practices, and both systems have historically worked in tandem, however ineffectively or tumultuously. The law is, by social mandate, imagined as a "fixed" system of social control, made up of rules and procedures grounded in a reality that is independent of language; although we know that law is both revised and interpreted every day in courtroom practice, to imagine the law, the system that keeps bad people behind bars and good people safe, as indeterminate or, worse, fallible, produces social anxieties that upend our cultural assumptions about fairness that predate our judicial system. This imaginary stability, then, is ultimately what prevents the legal system from evolving in consonance with developments in the mental health professions, as inadequate as that discursive system may be for describing and categorizing the infinite possibilities of mental illness, specifically where it is relevant to the commission of a crime. Ultimately, the insanity plea raises the specter of the endless interpretability of the law and mental illness and, therefore, the frailty of the justice system, which makes each insanity defense trial emblematic of larger social anxieties about social control, fairness, and susceptibility to mental illness or the actions of mentally ill people.
ContributorsAlden, Andrea Lisa (Author) / Daly Goggin, Maureen (Thesis advisor) / Carlson, A. Cheree (Committee member) / Roberts-Miller, Patricia (Committee member) / Arizona State University (Publisher)
Created2014
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Using Logistic Regression to Predict Stock Trends Based on Bag-of-Words Representations of News Article Headlines

Description

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones…

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.
ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Wisdom Vet: Supporting the Mental Health of Veterinary Students

Description

The field of veterinary medicine can be rewarding, but also very demanding. Research has shown that many practicing veterinarians struggle with mental illness, and the profession has one of the highest suicide rates in the United States. Research has also shown that many veterinary students struggle with mental illness. It…

The field of veterinary medicine can be rewarding, but also very demanding. Research has shown that many practicing veterinarians struggle with mental illness, and the profession has one of the highest suicide rates in the United States. Research has also shown that many veterinary students struggle with mental illness. It is important to further research the mental health of veterinary students and how that can correlate with one's mental health as a practicing veterinarian. The purpose of this project is to summarize findings of the literature concerning the mental health of veterinary students and to present a new resource, the Wisdom Vet app, that can potentially support the well-being of veterinary students.
ContributorsYounger, Darien (Author) / Jimenez Arista, Laura (Thesis director) / Ocampo-Hoogasian, Rachel (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2022-05