Contextualizing Ethnic/Racial Identity: Nationalized and Gendered Experiences of Segmented Assimilation Among Second Generation Korean Immigrants in Canada and the United States
Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,015 | 0,007 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».