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Zwischenfach: An Exploration of the In-Between
No full textThesis (DM) – Indiana University, Music, 202
The Perception Paradox: How the American Female News Anchors' Archetypal Appearance Has Impacted Her Career Both Historically and Contemporarily
No full text2025 winner of the "Vijay Krishna Reddy Outstanding Presentation Award in Communication Studies"In August 1981, 38-year-old Christine Craft was demoted from a news anchor to a nonvisible reporter for being “Too old, too ugly, and not deferential to men” (White 1324). Craft's experience is not singular. Since their introduction to the television news industry in late 20th-century America, many female television journalists have endured relentless criticism. Using a review of selected scholarly literature and an original survey, this study investigates the relationship between a female news anchor’s level of attractiveness and her perceived credibility. Viewers and professionals alike disproportionately objectify female anchors, and the trend may continue without greater awareness
IUPD's Cadet Officer Program
No full textMy poster will consist of information about my responsibilities and duties throughout my internship at the Indiana University Police Department. I will also display how I incorporated my learning objectives for my internship into my daily routine
Rails to Trails - Call to Artist Poster
Get PDFThe Rural Placemaking Studio, a partnership between the Eskenazi School of Art, Architecture, and Design and the Center for Rural Engagement, worked with residents to design a mural concept that highlights key historical sites and local landmarks of Borden, to be installed on the back of the Borden Business Park. Students also provided a call for artists, which will be issued by the Town of Borden for future use
Does Market Timing Work Well in China’s Mature and Emerging Stock Markets
Get PDFChina’s Hang Seng Index (HSI) represents the mature market, and its Shanghai Stock Exchange Composite Index (SSE), the emerging market. I utilize six market timing (MT) methods and one dollar cost average (DCA) method to invest in the two stock indexes respectively. It is assumed that investors make a series of monthly cash contributions to an equity index in the long term. They do not possess lump-sum cash and cannot borrow cash. They buy and hold equity till the end of an investment period. The DCA method is simple, and it is to invest every monthly cash contribution immediately in an equity index. The six MT methods are complicated, and they are to invest more (less) than the monthly cash contribution, under the cash constraint, if the equity price has declined (risen). Empirical tests have been conducted for the 5-year, 10-year, and 20-year rolling investments during 1991-2022. My findings show that for both the HSI and SSE, the net returns generated by the six MTs are similar to those created by the DCA. In addition, the differences (MT-DCA) in the average monthly returns and modified Sharpe ratios are either statistically insignificant or negative and significant. Therefore, regardless the differences between the Hong Kong and mainland China markets, the complicated MTs do not outperform the simple CA in China’s mature and emerging stock indexes
Morally Fraught Identities: How Multiracial Individuals Navigate Race and Whiteness
No full textThesis (Ph.D.) - Indiana University, Department of Sociology, 2025Multiracial identities and experiences cannot be fully understood through monoracial categories, yet multiracial individuals must contend with monoracial structures. Through 55 in-depth interviews and photo elicitation with multiracial young adults (18-24) in the Midwest, I examine how multiracial individuals navigate and contend with race, racism, and identity in the context of Whiteness, family, and education. First, I find that multiracial individuals who can be seen as White, at least some of the time, experience Whiteness as a wage (benefit) that is tempered in part by a “tax” on the benefits of Whiteness. This tax stems in part from experiences of Whiteness as a “contingent status,” in which interpretation as White by others is not a guarantee. Second, I examine bidirectional ethnic-racial socialization within multiracial families to show that children engage in the socialization of their parents around matters related to race and racism. In particular, children drew on knowledge of social movements like Black Lives Matter and Stop Asian Hate, exercising agency, conducting hidden labor, and operating as one potential force for generational social change. Third, I analyzed experiences with racial socialization and racialization within school settings, finding that multiracial students contend with a contradiction: schools routinely dismiss race and racism as legitimate topics of study, yet it is within schools that multiracial students are starkly racialized. Multiracial students respond to a lack of instruction on race and racist interactions with peers by conducting their “own research” with respect to racial identity, drawing moral boundaries as they develop racial and political consciousness. In each of these social realms (experiences with Whiteness, family, and education), multiracial individuals navigate race and racism on monoracial terms. This study suggests the need for a “multiracial paradigm” of race, which can account for the totality of multiracial experiences with race and multiraciality
Equitable counts: Inclusive data analysis, data quality, and dissemination
No full textInstitutional research and assessment that uses quantitative data faces many challenges in ensuring that data practices are equitable and inclusive. Critical approaches to quantitative data challenge traditional models, measures, and analytic processes often used in traditional quantitative research. Although a critical lens can allow us to better find areas of inequity, these approaches can be met with skepticism and misunderstandings. Participants in this session will learn about critical quantitative inquiry and how it can apply to four different areas of IR decision making: data collection, data analysis, assessing data quality, and dissemination of results. We will discuss critiques of traditional assumptions and uses of quantitative data, look at examples for how we can apply critical approaches to our work, and learn about challenges we should anticipate when using critical quantitative inquiry in IR decision making and in sharing critically derived results with others