Arts & Literature: A Personal Reckoning: Taking Responsibility as a Perpetrator
Bibliographic record
Abstract
This autobiographical essay identifies three forces that shaped the author’s participation in the scholarly and political struggle against genocide and other mass violence and oppression. These include his status as the grandson of Armenian Genocide survivors, the fact that his father was killed in action in the US War of Aggression against Vietnam, and the bullying he experienced as a child and adolescent. It then pushes back against any sense of victimhood that has resulted from the combination of these forces, to recognize the author’s implication in perpetration of the US War of Aggression against Vietnam, which the author has determined included genocidal elements. It notes the silence in the United States on the occasion of the 50th anniversary of the final withdrawal of the United States from Vietnam on April 30, 1975—specifically, the lack of acknowledgment of perpetration and failure to take the ethically-obligated substantive reparative steps that are its ethical obligation. It concludes with a call to consistency, whereby the author’s commitment to advocacy regarding the Armenian Genocide should be matched by action to address the impact of the mass violence against the Vietnamese people, including genocide, that he is complicit in as part of the perpetrator group.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.034 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".