THE VIETNAM PIETA: SHAPING THE MEMORY OF SOUTH KOREA’S PARTICIPATION IN THE VIETNAM WAR
Bibliographic record
Abstract
Conceived to commemorate the victims of South Korea’s participation in the Vietnam War, the statue of the Vietnam Pieta invites us to question who shapes the memory of this neglected facet of the conflict. The present article analyzes the various actors involved in this contentious process in and across both countries, starting with the South Korean activists behind the statue’s making and the movement for recognizing the crimes committed by their army. Examining these activists’ advocacy work since the late 1990s, the article argues that they are triply situated in the fight over remembering South Korea’s intervention in Vietnam. Truth advocates first appear in a position of privilege and leadership vis-à-vis Vietnamese victims of South Korean military wrongdoings, which raises the issue of the material and political asymmetries at stake in the construction of memory. Simultaneously, the same advocates occupy a position of marginality vis-à-vis the dominant public discourse held on the war by Hanoi and Seoul, whose common interest lies in deepening their mutually beneficial but unequal economic partnership. Thirdly, the memory of the conflict pits truth activists against another group within their own civil society: veterans’ organizations aggressively denying all war crimes accusations. Ultimately, remembering the war is not the object of a bilateral dispute between the South Korean and Vietnamese states, but rather a site of domestic tensions within South Korea itself.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".