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Envisioning Latinx Narratives: Exploring Mexican and Honduran Immigrant Perspectives Using Epistemic Networks by Geospatial Location

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Advances in Quantitative Ethnography (ICQE 2023)

Abstract

This study delves into the expected demographic shift in the U.S., where Latinx immigrants are projected to comprise 29% of the total population by 2050, focusing on their economic and social influences in South Philadelphia, especially in the Italian Market area, a notable destination for various immigrant groups. Utilizing a blend of ethnographic semi-structured interviews with Latinx participants involved in entrepreneurial activities or working in the food and factory industries, the study probes their self-perceived impacts on this locale. The research employs a mix of geographic information system mapping and other spatial analyses, augmented by epistemic network analysis, to visually represent the nuanced relationships and experiences of these immigrants, surpassing the limitations of conventional mapping techniques. The investigation seeks to shed light on the various ways Latinx immigrants, primarily from Mexico and Northern Central America, shape the vitality of Philadelphia through their spatial, network, social, and economic engagements. The pivotal question this research seeks to answer is: How do Latinx immigrants express their contributions to the vibrancy of Philadelphia as a host community?

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Acknowledgments

Interview transcription services were supported by funds from the University of Pennsylvania Center for the Study of Ethnicity, Race and Immigration (CSERI) Turner Schulman Graduate Fellowship, awarded in December 2022.

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Correspondence to Stephanie Rivera-Kumar .

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Rivera-Kumar, S., Zambrano, A., Barany, A. (2023). Envisioning Latinx Narratives: Exploring Mexican and Honduran Immigrant Perspectives Using Epistemic Networks by Geospatial Location. In: Arastoopour Irgens, G., Knight, S. (eds) Advances in Quantitative Ethnography. ICQE 2023. Communications in Computer and Information Science, vol 1895. Springer, Cham. https://doi.org/10.1007/978-3-031-47014-1_21

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  • DOI: https://doi.org/10.1007/978-3-031-47014-1_21

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  • Online ISBN: 978-3-031-47014-1

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