In the last decade, California’s imprisoned population of women has increased by nearly 400% (Chesney-Lind, 2012). The focus of this thesis is to discuss the treatment—or lack thereof—of women within California’s criminal justice system and sentencing laws. By exploring its historical approach to two criminal actions related to women, the Three Strikes law (including non-violent drug crimes) and the absence of laws accounting for experiences of female victims of domestic violence who killed their abusers, I explore how California’s criminal code has marginalized women, and present a summary of the adverse effects brought about by the gender invisibility that is endemic within sentencing policies and practice. I also discuss recent attempted and successful reforms related to these issues, which evidence a shift toward social dialogue on sentencing aiming to address gender inequity in the sentencing code. These reforms were the result of activism; organizations, academics and individuals successfully raised awareness regarding excessive and undue sentencing of women and compelled action by the legislature.
By method of a feminist analysis of these histories, I explore these two pertinent issues in California; both are related to women who, under harsh sentencing laws, were incarcerated under the state’s male-focused legislation. Responses to the inequalities found in these laws included attempts toward both visibility for women and reform related to sentencing. I analyze the ontology of sentencing reform as it relates to activism in order to discuss the implications of further criminal code legislation, as well as the implications of the 2012 reforms in practice. Through the paper, I focus upon how women have become a target of arrest and long sentences not because they are strategically arrested to equalize their representation behind bars, but because the “tough on crime” framework in the criminal code cast a wide and fixed net that incarcerated increasingly more women following the codification of both mandatory minimums and a male-oriented approach to sentencing (Chesney-Lind et. al, 2012).
Previous studies about the effects of regulatory institutions on the outcomes of regulation have resulted in a lack of consensus on the nature of these impacts. This paper seeks to resolve some of this ambiguity by analyzing two dimension of electric utility regulatory outcomes, prices and reliability, with a broader panel of explanatory variables and with a Hausman-Taylor regression technique. The results suggest that elected regulators and deregulated electricity markets result in worse reliability outcomes for consumers without strong evidence that either institution secures lower electricity prices. Incorporating these insights into a theoretical model of regulation could give more detailed insight into how to create regulatory institutions that can optimize the outcomes of governance.
With the rise of fast fashion and its now apparent effects on climate change, there is an evident need for change in terms of how we as individuals use our clothing and footwear. Our team has created Ray Fashion Inc., a sustainable footwear company that focuses on implementing the circular economy to reduce the amount of waste generated in shoe creation. We have designed a sandal that accommodates the rapid consumption element of fast fashion with a business model that promotes sustainability through a buy-back method to upcycle and retain our materials.
Digital learning tools have become ubiquitous in virtual and in person classrooms as teachers found creative ways to engage students during the COVID 19 pandemic. Even before the pandemic and widespread remote learning, however, digital learning tools were increasingly common and a typical part of many classrooms. While all digital learning tools are worthy of study, math digital learning tools (MDLTs) designed for K - 8th grade in particular raise questions of efficacy and usefulness for classrooms. This paper shows that MDLTs are an effective tool to raise students’ math achievement across K - 8th grade, and that time spent on MDLTs can lead to better understanding of a topic than traditional, teacher led instruction. However, if the MDLT is being delivered in a language the student is not familiar with, that student will not be able to benefit from MDLTs in the way other students do. This is also true of students who receive Special Education services. Additionally, higher quality MDLTs that provide feedback that attaches meaning to students’ work creates a better learning environment for students than one with simpler feedback. Based on my experiences with student teaching this year and using the popular MDLT IXL frequently, I recommend that MDLTs not just be used for independent practice time, but for whole class, problem solving sessions where students have to use mathematical thinking in new content areas. This will build deeper conceptual learning and a greater sense of achievement in students.
As America undergoes a modern, civil rights movement, the reality of police brutality can no longer be disregarded by everyday voters. The Black Lives Matter movement has become ubiquitous, both in real life and in the media, after the murder of George Floyd. This moment has made way for widespread video coverage of police brutality incidents, a litany of written think pieces dissecting the long-term effectiveness of the police, and a myriad of articles discussing prospective policy actions. With a rise in coverage comes a heightened level of awareness of and conversation around this issue. We have witnessed the pervasiveness of the Black Lives Matter movement and an increasing conversation around the allocation of funding towards police departments. Change has been sparked, but which form of media has most effectively influenced the public? Seeing as one of the principal goals of police-related advocacy groups is to fulfill their vision of a properly functioning police force, including in relation to accountability and reform, it is vital to understand which medium the public is most receptive to. This study and its design serve to examine how exposure to different media regarding police brutality affects people’s opinions on Black Lives Matter, police reform policies, and similar changes. Moving forward, social movements will have a better understanding of which types of media can best target the public when trying to coalesce support around their movement.
Media witnessing and storytelling for environmental justice (EJ) provide an avenue to understand the relationships between “multiple realities of environmental injury” and to analyze “fleeting phenomena with lasting form; thereby transforming phenomena that are experienced in a plurality of lives into publicly recognized history” (Houston, 2012, 419, 422). This creates opportunities to challenge and eradicate the oppressive structures that deem certain individuals and groups disposable and ultimately protect the possessive investment in whiteness. Therefore, for the purposes of EJ, media witnessing creates space for dynamic, citizen-based storytelling which can undermine narratives that promote the life versus economy framework that has perpetuated oppression, injustice, and state sanctioned violence. Media witnessing in an EJ context demonstrates the potential for collective understanding and action, political opportunities, and healing.<br/>This paper is an analysis of the process of media witnessing in regards to the Flint Water Crisis and the construction of the Dakota Access Pipeline (DAPL) and will apply an EJ lens to this phenomenon. It will discuss how media witnessing in response to these two crises can be used as a precedent for understanding and utilizing this framework and digital storytelling to address the crises of 2020, primarily the COVID-19 pandemic and racial injustice. It will then examine how the intersectionality of race, gender, and age has implications for future media witnessing and storytelling in the context of EJ movements. Finally, it will explain how media witnessing can motivate holistic policymaking in the favor of EJ initiatives and the health and wellbeing of all Americans, as well as how such policymaking and initiatives must acknowledge the double-edged sword that is social media.
Neoliberal feminism has gained significant popularity in fourth-wave feminist media. In this paper, I analyze the 2017 limited television series "Big Little Lies" to uncover the intricacies of neoliberal feminist theory in practice, particularly how it speaks to gender, race, and class relations.
Actuaries can analyze healthcare trends to determine if rates are reasonable and if reserves are adequate. In this talk, we will provide a framework of methods to analyze the healthcare trend during the pandemic. COVID-19 may influence future healthcare cost trends in many ways. First, direct COVID-19 costs may increase the amount of total experienced healthcare costs. However, with the implementation of social distancing, the amount of regularly scheduled care may be deferred to a future date. There are also many unknown factors regarding the transmission of the virus. Implementing epidemiology models allows us to predict infections by studying the dynamics of the disease. The correlation between infection amounts and hospitalization occupancies provide a methodology to estimate the amount of deferred and recouped amounts of regularly scheduled healthcare costs. Thus, the combination of the models allows to model the healthcare cost trend impact due to COVID-19.
In collaboration with Moog Broad Reach and Arizona State University, a<br/>team of five undergraduate students designed a hardware design solution for<br/>protecting flash memory data in a spaced-based radioactive environment. Team<br/>Aegis have been working on the research, design, and implementation of a<br/>Verilog- and Python-based error correction code using a Reed-Solomon method<br/>to identify bit changes of error code. For an additional senior design project, a<br/>Python code was implemented that runs statistical analysis to identify whether<br/>the error correction code is more effective than a triple-redundancy check as well<br/>as determining if the presence of errors can be modeled by a regression model.