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Title: | Implicit Bias Training and Servicio Social: A Comparative Analysis of Medical School Curricula in the United States and Mexico Economics_Senior_Thesis_Submission_Click_Here_To_Submit_clzhou_attempt_2016-04-12-17-02-16_Charles_Zhou.pdf Implicit Bias Training and Servicio Social: A Comparative Analysis of Medical School Curricula in the United States and Mexico Implicit Bias Training and Servicio Social: A Comparative Analysis of Medical School Curricula in the United States and Mexico ORIGINAL |
Authors: | Vera, Katya |
Advisors: | Oushakine, Serguei |
Department: | Anthropology |
Certificate Program: | Global Health and Health Policy Program |
Class Year: | 2020 |
Abstract: | Recently, implicit bias training has been used by American medical schools to combat the biases of their students, faculty, and patients and help reduce health disparities. Despite Mexican medical schools requiring a year of service known as servicio social, in which medical schools serve low-income, and often non-Spanish speaking, rural, and indigenous patients, they do not receive any sort of implicit bias training. Although biases are innately human, I argue that the types of biases we have are influenced by our culture through institutions, in this case, medical colleges. Through literary research, in addition to the interviews I conducted and ethnographic work I completed in New York City and Guadalajara, Mexico, I illuminate the necessity and importance of implicit bias training in medical schools. I explain how training was advocated for by underrepresented minorities in medicine and its immense necessity in Mexican medical schools considering the dynamics of servicio social. |
URI: | http://arks.princeton.edu/ark:/88435/dsp01jw827f61c |
Type of Material: | Princeton University Senior Theses |
Language: | en |
Appears in Collections: | Anthropology, 1961-2020 Global Health and Health Policy Program, 2017 |
Files in This Item:
File | Description | Size | Format | |
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VERA-KATYA-THESIS.pdf | 622.74 kB | Adobe PDF | Request a copy |
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