The Myth of the Emperor and the Yamato Race: The Role of the Tairiku nippô in the Promotion of Japanese-Canadian Transnational Ethnic Identity in the 1920s and the 1930s
Bibliographic record
Abstract
This article examines the role that the Japanese-Canadian (first-generation) issei press, the Tairiku nippô, played in transnational ethno-racial identity, focusing on the myths of the Emperor and the Yamato race. The newspaper is an invaluable source that shows Japanese Canadians’ self-image that emerged in response to intense anti-Asianism in British Columbia during the 1920 and the 1930s. The press incorporated politicized images and stories, which integrated the Emperor and Japanese racial roots into its editorials and columns, boosting their sense of racial pride. Hirohito’s daijôsai of 1928 and Japan’s invasion of the Manchuria in 1931 served as the best opportunities to spread their myths and symbols. The newspaper also became a space where Japanese Canadians could freely express their opinions and feelings for their homeland through essays and poems, without facing any criticisms from mainstream British Columbians. An examination of such messages reveals that Japanese-Canadian Buddhist issei, and some nisei, who had strong affiliation with the Tairiku nippô, maintained their loyalty to the Emperor, and expanded the idea that they were part of the noble Yamato race. Their ideology was a factor that prompted them to support and justify Japan’s invasion of China.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.017 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".