Matokeo ya Utafutaji

For Tommie Shelby, the persistence of ghettos raises many thorny questions of morality, and he offers practical answers framed in terms of what justice requires of government and its citizens. His social vision and political ethics calls for putting the abolition of ghettos at the center of reform.... More

On the 50th anniversary of Martin Luther King, Jr.’s, assassination, his political thought remains underappreciated. Tommie Shelby and Brandon Terry, along with a cast of distinguished contributors, engage critically with King’s understudied writings on a wide range of compelling, challenging topics... More

African American history resounds with calls for black unity. From abolitionist times through the Black Power movement, it was widely seen as a means of securing a full share of America's promised freedom and equality. Yet today, many believe that black solidarity is unnecessary, irrational, rooted ... More

An incisive and sympathetic examination of the case for ending the practice of imprisonmentDespite its omnipresence and long history, imprisonment is a deeply troubling practice. In the United States and elsewhere, prison conditions are inhumane, prisoners are treated without dignity, and sentences ... More

The book shows that rap classics by Lauryn Hill, OutKast, and the Notorious B.I.G. can help uncover the meanings of love articulated in Plato's Symposium; that Rakim, 2Pac, and Nas can shed light on the conception of God's essence expressed in St. Thomas Aquinas's Summa Theologica; and explores the ... More

Is there too much violence in hip-hop music? What's the difference between Kimberly Jones and the artist Lil' Kim? Is hip-hop culture a "black" thing? Is it okay for N.W.A. to call themselves niggaz and for Dave Chappelle to call everybody bitches? These witty, provocative essays ponder these and ot... More

This book constitutes the refereed joint proceedings of the First International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2018, the First International Workshop on Deep Learning Fails, DLF 2018, and the First International Workshop on Interpretability of Machine Intelligence in Med... More