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  1. Home
  2. Browse by Author

Browsing by Author "Ulloa-Leon, Felipe"

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    Infrastructural inequality: exploring the emergence of digital classes in the Metropolitan Area of Santiago, Chile
    (2023) Correa, Juan; Ulloa-Leon, Felipe; Vergara-Perucich, Francisco; Aguirre-Nunez, Carlos; Truffello, Ricardo
    This paper examines the digital divide in the city of Santiago, Chile. The research uses the density of mobile phone antennas as a proxy for digital infrastructure. The findings show that there is a strong correlation between the density of mobile phone antennas and socioeconomic status. Areas with higher incomes and more mobile phone antennas have better Internet connectivity than areas with lower incomes and fewer mobile phone antennas. The objective is to shed light on the power dynamics and invisible networks that shape the configuration of infrastructures, highlighting the need for equitable access to the digital world as a fundamental democratic right. The conclusions indicate that communication infrastructures are unevenly distributed and that the transition from analogue to smart cities risks exacerbating social inequalities. Rectifying these disparities is essential to avoid leaving the most vulnerable behind in technological transitions.
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    Socio-spatial analysis of migrant school students according to Bourdieu's capitals in Santiago de Chile (2017-2020)
    (2024) Aguirre-Nunez, Carlos; Ulloa-Leon, Felipe; Correa-Parra, Juan; Vergara-Perucich, Francisco
    Chile has experienced a substantial immigration boom in the last 10 years. The urban areas of this nation present high levels of residential segregation, represented in its main city, Santiago. This article presents results of an exploratory analysis of the relationship between residential segregation, immigration rate by educational institutions and changes in school performance. Based on the generation of clusters characterized by cultural, social, economic and symbolic capital, an analysis of the changes in school performance in those schools that received the greatest number of migrants is generated.

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