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- Creators: Zicarelli, John
- Creators: Arizona State University
- Resource Type: Text
- Status: Published
Elite experience and careers in judged female sports complicate the binary categories of retirement while they are especially exposed to cultures of abuse, pressure and subjectivity. This thesis is comprised of multiple voices and experiences from the elite female athletic perspective, including my autoethnographic narrative. Highlighted and discussed are the topics of sexual assault and abuse, family pressure on children to do and excel at sport, the National Team experience representing the United States and subjected bodies and judging. It is an aim of this thesis to culminate all of those factors in the final chapter and hold that the experience and the cultures of athletic identity within synchronized swimming, gymnastics and figure skating not only cannot be explained by current research on athletic identity through retirement but have the capability to retire undeveloped young women by overdeveloped athletic identities. Through a sampling of voices and experiences across different female judged sports, over three decades, the reader will observe similarities that cause these sports to have a culture of solidarity through the aspects they hold in common with each other. The narrative highlights pivotal moments in the lives of the elite female athlete within these sports, which add to the calculation of their athletic identities and the lack of their personal identities. Through reflection and analyses of not only my story, but the interviewees from my original research and that of Joan Ryan’s as well, I aim to voice a mutual experience of elite athletes. Consisting of multiple factors throughout many years we will see through my autoethnography, paralleling with other voices and experiences, how it all intersects and contributes to this: Who am I now and where do I go from here?
Of the many retirement savings options available, defined benefit pension plans were once a retirement income staple. Due to the highs and lows of the economic cycle, defined benefit pension plans have become severely underfunded. A series of inadequate contributions, enabled by weak funding and risk management policies, poses uncertainty for the retirement of many. The cost of paying pension benefits rises as defined benefit pension plans become increasingly underfunded, burdening the employers who continue to pay them. However, without increasing these already unaffordable pension benefits alongside inflation, they become less valuable to retirees. As pension benefits lose their value and the costs of retirement, such as healthcare and assisted living, increase, defined benefit pension plans may not provide the retirement security that was once promised.
The objective of this study is to build a model using R and RStudio that automates ratemaking procedures for Company XYZ’s actuaries in their commercial general liability pricing department. The purpose and importance of this objective is to allow actuaries to work more efficiently and effectively by using this model that outputs the results they otherwise would have had to code and calculate on their own. Instead of spending time working towards these results, the actuaries can analyze the findings, strategize accordingly, and communicate with business partners. The model was built from R code that was later transformed to Shiny, a package within RStudio that allows for the build-up of interactive web applications. The final result is a Shiny app that first takes in multiple datasets from Company XYZ’s data warehouse and displays different views of the data in order for actuaries to make selections on development and trend methods. The app outputs the re-created ratemaking exhibits showing the resulting developed and trended loss and premium as well as the experience-based indicated rate level change based on prior selections. The ratemaking process and Shiny app functionality will be detailed in this report.