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20230510: Office of Assessment, Program Reviews, 2012
Get PDFThese items include materials from the office of Academic Affairs at Marshall University from 2012. Items were received in 2023 and include program reviews for undergraduate and graduate programs within the college of business, college of liberal arts, and the graduate college of education and professional development. Please see inventory for full list of contents
Guilty Machines: On Ab-sens in the Age of AI
Get PDFFor Lacan, guilt arises in the sublimation of ab-sens (non-sense) into the symbolic comprehension of sen-absexe (sense without sex, sense in the deficiency of sexual relation), or in the maturation of language to sensibility through the effacement of sex. Though, as Slavoj Žižek himself points out in a recent article regarding ChatGPT, the split subject always misapprehends the true reason for guilt’s manifestation, such guilt at best provides a sort of evidence for the inclusion of the subject in the order of language, acting as a necessary, even enjoyable mark of the subject’s coherence (or, more importantly, the subject’s separation from incoherence/ab-sens). For Žižek, the perversity (père-versity) of artificially intelligent chatbots lies precisely here, in their appearance as evidently novel modes for enjoying the displacement of one’s guilt onto the intelligent machine (“what happens is a form of perverse disavowal: knowing full well that it was the machine, not me, that did the work, I can enjoy it as my own,” Žižek 2023). What Žižek misses is that the transferred belovedness of guilt is a figure of contemporary life in general–the reason for modernity’s endless reproduction–and the AI chatbot is only one more recent, particularly popular, expression of racial capital’s entanglement with the unconscious. In our work, we will discuss the relationship between guilty affects, love, (cultural) reproduction, and AI using reference to Lacan’s later works, critical data science studies, and Black radical criticism
Chuck Yeager Photo in Uniform
No full textPhotograph of Chuck Yeager with an unidentified individual.https://mds.marshall.edu/yeager/1248/thumbnail.jp
Impact of state-led surveillance programs on neonatal abstinence syndrome
Get PDFIntroduction: Neonatal Abstinence Syndrome (NAS) has been costly for the healthcare system, for every 24 minutes a baby was diagnosed in 2020. Uniform programs to diagnosis, track and prevent NAS have not been implemented previously. The NCBDDD worked with 6 states to implement a uniform surveillance program. By tracking the NAS incidence rate, the Apgar scores of infants with NAS, the length of stay for those infants, the cost of care for those infants and the percentage of mothers of infants with NAS were participating in Medication Assisted Treatment the effectiveness of the surveillance programs may be assessed.
Methodology: This study utilized a literature review and a semi-structured interview. Three databases were used to collect 347 total sources. These sources were reviewed and reduced to 30 total sources that were used in the written research. Of these, 10 sources were used in the results section.
Purpose of the Study: The purpose of this research was to identify the impact of NCBDDD surveillance programs on Neonatal Abstinence Syndrome incidence rates, Apgar scores reported for infants with NAS, length of stay, cost of care and the percentages of mothers who were treated with Medication Assisted Treatment while pregnant.
Results: The research showed that NCBDDD surveillance programs were not associated with decreases in NAS incidence rates, length of stay, cost of care, or an increase in Apgar scores or the percentage of mothers who were treated with Medicare Assisted Treatment while pregnant