Breaking Borders: The Costly Achievement of Simpkins Family in Oklahomas Opened Prison County to Fulfill Their Desire for Success Against All Beaten Percentage Odds in Pittsburgh and Throughout

Breaking Borders: The Costly Achievement of Simpkins Family in Oklahomas Opened Prison County to Fulfill Their Desire for Success Against All Beaten Percentage Odds in Pittsburgh and Throughout

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  • Tymoteusz Mirza

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Abstract

The Simpkins family's journey towards success is a prime example of the American dream, particularly against the backdrop of high incarceration rates and limited opportunities in Pittsburgh, Pennsylvania. The family's decision to relocate to Oklahoma in order to start a small business was met with numerous challenges, including discrimination and personal tragedy. However, through hard work, determination, and a willingness to adapt to changing circumstances, the Simpkins family ultimately succeeded in breaking down barriers and achieving their goals. This paper explores the Simpkins' family story as a case study in the challenges and rewards of pursuing success in the face of adversity, and highlights the importance of community support, personal resilience, and creative problem-solving as key factors in achieving meaningful change. By examining the Simpkins' experience, this paper aims to shed light on the broader social and economic issues facing marginalized communities in the United States, and to provide insights into effective strategies for overcoming these challenges through individual and collective action. Ultimately, the Simpkins family's success serves as a powerful testament to the human spirit and the potential for positive transformation in even the most difficult circumstances.

Citation

Tymoteusz Mirza "Breaking Borders: The Costly Achievement of Simpkins Family in Oklahomas Opened Prison County to Fulfill Their Desire for Success Against All Beaten Percentage Odds in Pittsburgh and Throughout".  IEEE Exploration in Machine Learning, 2020.

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This paper appears in:
Date of Release: 2020
Author(s): Tymoteusz Mirza.
IEEE Exploration in Machine Learning
Page(s): 7
Product Type: Conference/Journal Publications