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Iteratively Linking Words Using Word2Vec and Cosine Similarity
Get PDFWe propose an algorithm that constructs relationships among any number of seed words. A relationship consists of a set of iteratively-generated paths of similar words, where each path links one seed word to another. The similar words are generated using Word2Vec word embeddings and the cosine similarity measure. By examining the effectiveness of the proposed algorithm in the mental health domain, we find that the algorithm effectively returns meaningful relationships and has the potential to be used for hypothesis generation and information extraction
The past, present, and future of blackness: writings on the wall and the importance of natural archives
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Homecoming. An exploration into the meaning of \u27belonging\u27 and examination of transnational adoption as a means of the neo-colonization of the female Chinese American adoptee body
No full textFrom Watts to Ferguson: The Militarized Policing of Black Communities in the United States
No full textBeginning the 1960s, police forces in the United States underwent a transformation. In response to the civil unrest taking place in cities across the country, public support for increased federal funding for law enforcement soared. With this increased funding, police departments began to employ the use of military-style weapons and tactics to respond to exceptionally dangerous or volatile situations that could not be adequately handled by regular uniformed officers. However, militarized policing quickly became the norm rather than the exception and embedded itself in processes of everyday policing over the past several decades. This new militarized nature of policing, combined with logics of control that have always been inherent within police forces, has resulted in the intensely violent and oppressive relationship between law enforcement and black communities that is seen today.
The goal of this paper is to trace the inception, progression, and normalization of militarized policing as it relates to black communities in the United States. To achieve this, three key periods in the timeline of police militarization will be examined: The Watts Rebellion of 1965 and the creation of SWAT teams, the implementation of the War on Drugs and the normalization of the use of militarized force against black civilians, and the killing of Michael Brown that sparked the Ferguson Protests of 2014 and the subsequent investigation into Ferguson’s police force. These touchstones will provide bases that will anchor discussions of more theoretical concepts surrounding militarized policing, namely the otherization of black communities. Through this analysis I hope to convey that while policing in the United States has always sought to control black populations, the relatively recent militarization of police forces has only exacerbated this oppression
Social Networks and Social Welfare Disparities Among Sexual Minorities
Get PDFCurrently there is a deficit in economics literature on the labor market outcomes of sexual minorities. Previous studies have provided evidence that homosexual and bisexual individuals endure worse mental and physical health, and lesbian women excluded, face wage penalties associated with their identity. There are numerous studies on the association between social capital and quality of health, as well as showing correlation between health and economic status. This thesis attempts to build evidence of a linkage between the social capital, health, and labor market outcomes of sexual minorities. The results of this paper imply that excluding social capital measures from a model will lead to overestimates on the economic effects of identifying as a sexual minority
Temporal Exploration of the Proceedings of Old Bailey
Get PDFThe Proceedings of the Old Bailey, 1674–1913 (Hitchcock et al., 2012b) is a published record of criminal proceedings at London’s central criminal court. The Proceedings primarily depict the lives of the non-elite population of London. This project explores these proceedings to study this specific population over the approximately 250-year time period of the publication. Because the corpus spans a significant period of history, it can be examined to identify evolving patterns related to different social groups represented in the text. This project aims to identify which computational methods can reveal interesting sociolinguistic information about this corpus. More specifically, this paper will explore unsupervised techniques like latent Dirichlet allocation (LDA) (Blei et al., 2003), Word2Vec (Mikolov et al., 2013), and Embedded Topic Modeling (ETM) (Dieng et al., 2019b) when applied to the Proceedings of Old Bailey. Additionally, temporal variants of these methods, such as Dynamic Topic Modeling (DTM) (Blei and Lafferty, 2006), Dynamic Embedded Topic Modeling (DETM) (Dieng et al., 2019a), and LDA and Word2Vec manually run across different time slices, are applied to analyze the corpus over time