Storying Memories, Storying Ourselves: Autobiographical Explorations of Mixed Race Identity and Belonging
Notice bibliographique
Résumé
How do family stories shape our lives and identities, and influence our sense of home and belonging? What might it mean to seek out such stories in the context of mixed race heritage, intergenerational migration, and language differences? Perspectives and experiences of mixed race are understudied in Canada, and the scholarship that exists tends to focus on questions of governance, multicultural policy, and directions in multiracial discourse. In contrast to these outward-looking tendencies, my paper centres reflexively on my own experiences as a mixed race woman, maintaining a more intimate scale in its exploration of the connections between identity and family. Through an autobiographical case study that places my memories and experiences alongside the personal narratives and stories of eight family members, I explore my ‘mixed’ identity within the interstices of racial and other categories; my ongoing relationship with Chinese food and food practices; and my shifting understanding and senses of family, belonging, and home. In the process, frames of anti-oppressive and anti-racist feminism, relationality, embodiment, and an ethic of care and love are applied to family interviews, cooking as inquiry, journaling, and arts-based methods such as drawing, poetic writing, and photography. Emphasizing women’s voices and concentrating on the Chinese, paternal side of my family, my work is guided by the following interconnected questions: 1. What is the context and history of my family members – especially women – who have migrated, and/or who are part of the Chinese Diaspora in Canada? 2. How do my siblings and I experience and negotiate mixed race identity from our differing positions? 3. How are my understandings of and connections with family, culture, and ancestors influenced by family stories, food practices, and thinking through water? \n \nMy research speaks to the importance of personal and autobiographical narrative – and the spaces for such narrative – for attending to perspectives that are less commonly heard, including mixed race experiences. In doing so, I contribute nuance and complexity to what might otherwise be understood as Chinese identity and the Chinese Diaspora in a Canadian context. Meanwhile, I also add to knowledge on creative family-based research practices by considering what it means to undertake this very personal work and accountably engage with research involving family in an academic context. I conclude that belonging, in my case, can be sought through stories, knowledges I already hold and can expand, and embodied experiences of home – rather than only looking in physical places, specific types of identity, or language.
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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 | 0,003 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,014 | 0,015 |
| Communication savante | 0,005 | 0,008 |
| Science ouverte | 0,001 | 0,008 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».