The Suggested Deplored: A Ballplayers Journey through Nations University and Katanga

The Suggested Deplored: A Ballplayers Journey through Nations University and Katanga

Abstract

"The Suggested Deplored: A Ballplayers Journey through Nations University and Katanga" is a reflective and poignant memoir that chronicles the life and experiences of a young baseball player as he navigates the complex terrain of higher education and racial tensions in the United States. Through a series of vivid and evocative vignettes, the author recounts his journey from his humble beginnings on the baseball diamond to his enrollment at Nations University, an elite institution renowned for its academic rigor and athletic pedigree. Along the way, he grapples with a range of existential and societal issues, including the pressures of achieving success in both the classroom and on the field, the challenges of navigating relationships with fellow students and teammates, and the persistent realities of racial discrimination and prejudice. As the narrative unfolds, the author's journey takes him to the heart of Katanga, a remote and volatile province in the Democratic Republic of Congo, where he confronts the harsh realities of poverty, violence, and political instability. Through his encounters with a diverse cast of characters, from fellow ballplayers and educators to local villagers and political activists, the author gains a deeper understanding of the complexities of human experience and the power of resilience and perseverance in the face of adversity. Ultimately, "The Suggested Deplored" is a powerful and moving testament to the transformative power of education, the enduring value of human connection and community, and the importance of standing up for what one believes in, even in the face of daunting challenges and overwhelming odds."

Citation

Cullen Pearse "The Suggested Deplored: A Ballplayers Journey through Nations University and Katanga".  IEEE Exploration in Machine Learning, 2022.

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This paper appears in:
Date of Release: 2022
Author(s): Cullen Pearse.
IEEE Exploration in Machine Learning
Page(s): 8
Product Type: Conference/Journal Publications