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Full-Text Articles in Social and Behavioral Sciences

Gentrification In Seattle: Amazon Overpowers The City Council, Keyleigh N. Wallick Apr 2020

Gentrification In Seattle: Amazon Overpowers The City Council, Keyleigh N. Wallick

Student Publications

In this paper, I will analyze gentrification in the city of Seattle, Washington. I argue that gentrification in Seattle is driven by the tech and real estate industries that are powerful and lucrative enough to deter accountability despite the City Council’s efforts. First, I will discuss gentrification mostly through a sociological lens. Then, I will consider gentrification in Seattle, focusing on the Central District, South Lake Union, Capitol Hill, and First Hill neighborhoods. Additionally, I will discuss the role immigration plays in gentrification and the vulnerability of certain communities in Seattle. Finally, I will analyze the efforts the City Council …


Latinx Millennials Won’T Surrender To Tech-Industry Bias, Josefina F. Bruni Dec 2019

Latinx Millennials Won’T Surrender To Tech-Industry Bias, Josefina F. Bruni

Capstones

Organizations like Techqueria, which seek to improve the odds of Latinx in the tech labor market, have been popping up since 2014 among minorities and other marginalized social groups, with names like LGTBQ in Tech, Blacks in Technology, Latinas in Tech and Lesbians Who Tech. They’re free, fluid and informal, with members constantly exchanging information and support. While they offer many opportunities for face-to-face gatherings, they are powered by social media.

Some of these collective efforts are no more than Slack workspaces. Others cross multiple platforms or even have web pages. Some have even incorporated. But all …


A Mixed Methods Analysis Of The Intersections Of Gender, Race, And Migration In The High-Tech Workforce, Sharla N. Alegria Jul 2016

A Mixed Methods Analysis Of The Intersections Of Gender, Race, And Migration In The High-Tech Workforce, Sharla N. Alegria

Doctoral Dissertations

Despite public policy initiatives and private sector investment to recruit more women, women’s participation in high-tech work has decreased since 1990. I use interviews with tech workers and nationally representative quantitative workforce data from the American Community Survey to examine the consequences of race, gender, and immigration for tech workers’ experiences and wages. While previous research shows a decrease in the proportion of women in tech work, these conclusions are somewhat misleading as they do not consider the intersections of race and migration with gender. I find only modest change in the absolute numbers of women. Rather, as the field …