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Virginia Tech

That Could Be Me: Asian Adoptee Identity Formation and Violence

Abstract

dc:description.abstract

The purpose of this research is to understand how violence acts as a preceding event to a change in Asian adoptees' identities. I use the word 'violence' to encompass a wide range of experiences and events including 20th-century US-Asia wars, hate crimes, mass shootings, sexual violence, bullying, microaggressions, harassment, and more. This research includes violence that is experienced on not only an interpersonal level such as direct physical and psychological violence, but also on a cultural and collective level. In trying to understand this relationship between violence and identity, I use Identity Theory to analyze the contents of eleven interviews with Asian adoptees from Korea, China and Vietnam living in the US. I found that violence influenced identity changes in four major ways: vicarious victimhood, solidarity with other minorities, racial discrimination, and exclusion by other Asians.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Sociology
Department dc:contributor.department
Sociology
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Coleman, Eve Elizabeth
Chair dc:contributor.committeechair
  • Reichelmann, Ashley Veronica
Committee members dc:contributor.committeemember
  • Brunsma, David L.
  • Cassinelli, Silas M.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:37561
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/115079

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Coleman, Eve Elizabeth. That Could Be Me: Asian Adoptee Identity Formation and Violence. masters thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/115079