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Record W2307466096

Contextualizing Ethnic/Racial Identity: Nationalized and Gendered Experiences of Segmented Assimilation Among Second Generation Korean Immigrants in Canada and the United States

2008· article· en· W2307466096 on OpenAlexaboutno aff
Marianne S. Noh

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEthnic groupAssimilation (phonology)Gender studiesIdentity (music)RacializationSociologyPolitical scienceCultural assimilationRace (biology)AnthropologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this research is to contribute to the social constructionist study of relationships between assimilation experiences, gendered ethnicity and ethnic identity formation among second generation Korean Americans and Korean Canadians.As the presence of Korean immigrants in the U.S. and Canada is currently increasing at record high rates, the integration and adaptation of this new Asian immigrant group is an important concern for empirical assessment.For second generations, experiences of integration and adaptation influence ethnic identity formation, the socially constructed sense of self and belonging to ethnic groups and cultures.This study develops an understanding of segmented assimilation experiences, the internalization and resolution of racialized gender stereotypes and associated identity formations through content analysis of interview data.Thirty-one second generation Korean Americans and Korean Canadians participated in in-depth face-to-face interviews.The respondents shared their lived experiences of assimilation, gendered ethnicity and ethnic identity.The results are a presentation of emergent themes.The interpretation of data employs a contextualization of the results in national and gendered settings.Presented are three major results.First, American and Canadian second generation Koreans encounter similar assimilative experiences of adaptation struggles, social exclusion and confrontations with the model minority stereotype.Second, the respondents expressed the following distinct models of Americanness and Canadianness: the ethnic American model ( Kibria 2002) and the multicultural Canadian model.Neither model, however, seemed to permit full integration of Asians into the mainstream.Third, racialized gender stereotypes were prominent sources of conflict for the respondents.In conclusion, I suggest and discuss a model of dissonant identity formation.Conversations with second generation Koreans have shown that the formation of ethnic identity is a challenging experience that requires ongoing resolutions of conflicting messages coming from mainstream and co-ethnic social settings.v DEDICATION I dedicated this dissertation to a number of people who inspired the inception and completion of this project.To begin, I dedicate this to my dear friends spent many days and nights talking with me about the life of a second generation Korean.Julia Kim and Joy Yoon, your support and inquiry always gave me the confidence to move forward.Next, I dedicate this to the participants of this study.Thank you for sharing with me your life stories for the purpose of social scientific research.I am grateful for the opportunity to meet with each one of you and to hear your accounts of the second gen experience.Finally, I dedicate this document to my parents.You two are the most influential individuals in my life.Mom and dad, I am certain that I would not be here without you two as my models and my mentors.It is a great privilege for me to follow your examples.Thank you so much for following your hearts, even when others frowned on your decisions.There are many times that I benefited and learned from your actions.This project was clearly driven by our countless number of conversations and your inquiry into my life as your child and as a daughter of Korean immigrants.There are no words to express my gratitude for your unconditional protection, understanding and love.Mom and dad, nine years ago, who would have thought that I would be completing my doctoral studies today?Thank you a thousand times over.vi ACKNOWLEDGEMENTS This document would not be complete without the contributions of the people I recognize here.I am pleased to take this opportunity to acknowledge those who went above and beyond with their assistance to this study.First, I thank my following family members: ubba, umma, obba, unni and halmunee.Your actions of patience and words of support helped me to stay focused on the results.I also thank my niece, Ashley

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.007
Scholarly communication0.0040.001
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.237
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2008
Admission routes1
Has abstractyes

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