A new look at Korean Canadians and the immigrant experience in Toronto as explored in Canadian media: CBC’s Kim’s Convenience
Bibliographic record
Abstract
CBC’s Kim’s Convenience (2016) is a play by Ins Choi that was adapted into a TV show in October 2016. This show focuses on a Korean–Canadian family and their convenience store situated locally in Regent Park, Toronto, Ontario. The show speaks to the immigrant experience and life in Canada as described through first generation parents, and second-generation Korean Canadian children. This MRP will analyze the ways in which stereotypes are presented in Kim’s Convenience to subvert naturalized dominant negative discourses and tropes of racialized bodies, while simultaneously being used as a tool to produce counternarratives. Using Critical Discourse Analysis (CDA) as a methodological tool, this paper will explore the use of stereotypes in the portrayal of racialized accents, intergenerational conflicts, intercultural relationships, and the use of Regent Park as a setting for the show.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.043 | 0.017 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".