Racism, Canadian War Crimes, and the Korean War: Shin Hyun-Chan's Quest for Justice
Bibliographic record
Abstract
Scholars and journalists in Korea and the United States have worked hard over the past 15 years to bring to light the mass killings of civilians that occurred during the Korean War. These stories, including that of the strafing of civilians at No Gun Ri, have challenged the hegemonic narrative of the ‘good war’ that has dominated south Korean and US accounts of this tragic past. In the following revised excerpt of a chapter from his new book, Orienting Canada: Race, Empire and the Transpacific (Vancouver: UBC Press, 2011), Canadian historian John Price documents the story of Mr. Shin Hyun-Chan, a survivor of a Canadian war crime committed during the Korean war. In investigating the Shin case the author uncovered numerous other war crimes committed by Canadian forces in Korea, including rape and murder. In almost all cases where the perpetrators faced court-martials, they were found guilty but then exonerated upon return to Canada. Reporters in Korea at the time pointed to racism as endemic and a contributing factor. But the Canadian military, supported by religious leaders, refuted the accusations and buried the stories. The case reveals much about the politics of impunity as practiced by both the American and Canadian military during and after the war. And of the politics of impunity wherever Status of Forces Agreements protect foreign military forces from prosecution on the ground. As in the US, the Canadian military continues to refuse to accept responsibility for this and other war crimes. Sixty years later, however, the truth is finally coming out. Mr. Shin has recently retained legal counsel to press his case with the Canadian government. The case illustrates the importance of expanding research on war crimes committed during the Korea War beyond the US and South Korean archives. It also raises important dimensions of law and justice in an era in which Status of Forces Agreements (SOFA) insulate US and other foreign military forces from domestic courts where soldiers are stationed on foreign soil, whether in war or peace.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.050 | 0.017 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".