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Book Review: The Purpose of Power: How We Come Together When We Fall Apart: Alicia Garza, New World, 2020.
The Allure of the Watts Rebellion: Artistic Portrayals of Black Struggle, Unification, and Traumatic Healing in Los Angeles 1960s-1970s
The urban neighborhoods of Los Angeles, California, specifically concerning the African-American populations of South Central and Watts, have attained reputations of danger, poverty, and discomfort from the rebellious events conducted by its citizens in 1965: due to an urban explosion from years of societal abuse and disregard. This paper is formulated to combat such notions through a positive lens, which will accolade these neighborhoods and the efforts of constructing new spheres of healing and love in their communities. It is imperative to reframe the historical prevalence of the consistently negative image of African-American Los Angeles; Too many historians have adopted the trope of a traumatically damaged and hopeless inner city. Despite the familiar historical takes that hint toward the downfall of these black urban hubs after the Watts Rebellion, this study will instead take advantage of the absence of highlighted initiatives by artistic communities to which will be uncovered in this paper. The compilation, interpretation, and analysis of contextual histories as well as the construction of a primary source collection, the likes of what Kelly Lytle Hernandez would call a “rebel archive,”[1]will provide a different historical route in discussing the cultural boom in this region after the rebellion. The definition of Hernandez’ “rebel archive” is uncovered in this paper while recognizing artists like Noah Purifoy and the poetic conglomerate of the Watts Prophets. This paper will proceed to survey the lasting effects of the art created by these groups along with some mention to continuously visible communal organizations that permeate the nurturing of Watts through art and culture after the Rebellion.
[1] Hernandez, Kelly Lytle. City of Inmates: Conquest, Rebellion, and the Rise of Human Caging in Los Angeles,v1771-1965. Justice, Power, and Politics. 2017
From the Valleys to the Highlands: Nahua Conquistadors in Sixteenth Century Guatemala
The sixteenth-century Spanish conquest in the Americas has significantly altered world history. Unfortunately, the historical narrative of the conquest has predominately been narrated from a Eurocentric perspective. This situation has enabled the Spanish conquistadors to entitle themselves to an elite culture with little to no opposition. The interpretation from this narrative ultimately marginalizes the acknowledgment of indigenous participation and contribution to the Spaniards’ success. Despite the circumstances, recent scholars like Matthew Restall have pushed against the biased triumphalist narrative by turning to archival material, specifically, indigenous language texts, to uncover and amplify the Americas’ indigenous perspectives during the conquest. This trend became the New Conquest History. Generally, the scope of this study traditionally focuses on Central Mexico and Peru. However, scholarship have expanded the New Conquest History into other regions of the Americas. This includes Guatemala, which sets foot into the entire Central America region and diverse cultures
Topological Data Analysis on Simple English Wikipedia Articles
Single-parameter persistent homology, a key tool in topological data analysis, has been widely applied to data problems along with statistical techniques that quantify the significance of the results.
In contrast, statistical techniques for two-parameter persistence, while highly desirable for real-world applications, have scarcely been considered.
We present three statistical approaches for comparing geometric data using two-parameter persistent homology; these approaches rely on the Hilbert function, matching distance, and barcodes obtained from two-parameter persistence modules computed from the point-cloud data.
Our statistical methods are broadly applicable for analysis of geometric data indexed by a real-valued parameter.
We apply these approaches to analyze high-dimensional point-cloud data obtained from Simple English Wikipedia articles.
In particular, we show how our methods can be utilized to distinguish certain subsets of the Wikipedia data and to compare with random data.
These results yield insights into the construction of null distributions and stability of our methods with respect to noisy data