Enacting Ethnicity of “Japanese Canadian” in Oral History: A Comparison Between the Japanese Canadian Sansei and the Ijusha Nisei
Bibliographic record
Abstract
This paper presents the non-essentializing analysis of ethnic identity formation in comparative research between two groups in the Japanese Canadian community: the Japanese Canadian Sansei and the Ijusha Nisei. Using an oral history approach to understand the development of ethnic identity, I discuss how the social assignment of “otherness” based on the corporeal difference has negatively influenced identity formation in both groups. My comparative analysis further uncovers some of the different strategies that each group takes against the racializing process. Whereas the Japanese Canadian Sansei claim their cultural citizenship in the history of Japanese Canadians by aligning their own personal past with the collective memory of Japanese Canadians, the Ijusha Nisei negotiate it by entitling themselves as a contemporary representative of the ideology of multiculturalism. Finally, understanding the different processes of ethnic identity formation and strategies of negotiation for social inclusion, I discuss the effects of the ideology of multiculturalism on cultural citizenship among Japanese Canadians.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".