Bibliographic record
Abstract
This book tells the story of Japanese Canadian activist Mary Kitagawa. In the aftermath of the Pearl Harbor bombing, Mary was one of roughly 22,000 Nikkei uprooted from their homes on the Pacific coast and forbidden to return to western British Columbia until long after World War II had officially ended. In the decades that followed, Mary and her family navigated financial precarity and ostracism, but also found ways to pursue both economic stability and political engagement. Beginning with Mary's grandparents, who were among the earliest immigrants to Canada from Japan, this book tracks the family's experiences—and those of the larger Nikkei Canadian community—from the late 1800s to the present. Concentrating on the interpersonal and intergenerational bonds that shaped Kitagawa, Karen M. Inouye describes the increasingly activist sensibilities that arose from transformative relationships—with family members, other members of the Nikkei Canadian community, Doukhobors, First Nations peoples, and white allies—as well as in response to the anti-Asian racism that Kitagawa encountered in many forms throughout her life. Inouye presents the Nikkei Canadian experience not as a linear triumph over a single adversity, but as a continual process of identity formation in relation to obstacles and opportunities, suffering and joy, isolation and connection.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.062 | 0.015 |
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".