Separate National Apologies, Transnational Injustices: Second World War Oppression, Anti-Japanese Persecution, and the Politics of Apology in Five Countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract During the Second World War, several Allied countries oppressed Japanese diaspora groups (also known as Nikkei). The United States and Canada apologized in 1988; today, Brazil and Mexico face reparative demands for their persecution of Nikkei communities. There has been no integrated analysis of these interconnected injustices. This article offers a preliminary account, highlighting some of the key transnational factors involved. It also addresses the significant domestic bias of public discussions about the injustices, a bias that ignores the historical centrality of transnational forces in historical processes of anti-Asian oppression. We ask whether the possible spread of apology politics from the US and Canadian cases to Brazil, Mexico, and Australia might help to promote a new political awareness of the transnational character of the wartime oppression of Nikkei civilians in Allied countries. However, our analysis reveals that the politics of apology tends to promote domestic bias in public understandings of anti-Japanese racism. Indeed, to the extent that transnationality emerged in our cases, it was in the perverse form of “White civility” comparisons that chided countries in the Global South to emulate their allegedly more advanced apologetic counterparts from the North. Yet, there remain compelling reasons for domestic political apologies in our cases. The point is not to proscribe apologies but rather to understand their biases and, in the cases at hand, to use the spread of apology debates in our cases to promote a more widespread understanding of transnationality in the production of anti-Asian racism and White supremacy.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it