Bibliographic record
Abstract
In Mary Kitagawa: A Nikkei Canadian Life, Karen M. Inouye presents a richly detailed description of the life of a legendary Japanese Canadian woman, Keiko Mary (Murakami) Kitagawa. Notwithstanding its title, however, Mary Kitagawa is not the story of one woman alone. Inouye sensitively and skillfully situates Mary’s life within that of her ancestors: the Murakamis and the Okanos, as they cross time and space in a racist, white settler colonial society. In chronicling the lives of the Murakamis and Okanos, Inouye also provides us with a glimpse into the chronological history of thousands upon thousands of Japanese Canadians—as early migrants to Canada, settlers arduously clearing land; as suspects who were forcibly dispersed, dispossessed, and dislocated during the Second World War; as racialized peoples navigating their identities and struggling for economic security after the war, haunted by memory. In this sense, the book presents the reader with both shared and distinctive and unique lived experiences of Japanese Canadians. It represents a valuable contribution to Nikkei history. As a sansei (third generation Japanese Canadian), I did not directly experience the injustices and violations of the Second World War. But my mother and her family, like Mary’s, were dislocated from their farm and forcibly moved to Rosebery, British Columbia. My father was taken from his home in Vancouver and put in a prisoner of war camp in the province of Ontario. And as I was growing up in Toronto, I closely watched my mother and father, both of whom were similarly haunted by memories of these events. Like so many other Nikkei, I experienced the war indirectly through the intergenerational transmission of memory.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.045 | 0.017 |
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".