Hyphenated identities : integration and belonging in Korean-Canadian narratives
Bibliographic record
Abstract
Canada prides itself on being a multicultural country, and Canadian culture is described by some as a mosaic composed of distinct parts that take pride in their Canadian-ness. My focus is directed towards Korean Canadians and their hyphenated identities. Korean Canadians, like all immigrants, have faced challenges to integrate into Canadian society, reconstruct their identities and find their own sense of belonging. Ann Y. K. Choi's novel Kay's Lucky Coin Variety (2016), Ins Choi's play Kim's Convenience (2012), and a radio documentary (2018) by Jennifer Yoon all explore themes of identity, integration, belonging and hyphenated identities. In addition to being written by second-generation immigrants, these works share similar histories and discuss the struggles that are still facing Korean immigrants in their attempts to integrate (which presents a current and possibly future challenge to Canada in terms of integration and multiculturalism). Aspects like gender, age, socioeconomic status, and generational perspectives all affect the way these immigrants relate to their surroundings and accept their hyphenated status. By examining these factors and studying the autobiographical elements in these works, I seek to understand the creation of the hyphenated identity and what it means to belong and to be hybrid in a multicultural country.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.044 | 0.026 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".