Legible Testimonies: Raphaël Lemkin, the Victim’s Voice, and the Global History of Genocide
Bibliographic record
Abstract
This article offers a new portrait of Raphael Lemkin, as a historian of mass violence. It argues that, in contrast to recent characterizations that focus on Lemkin’s methodological amateurism, Lemkin was in fact highly attentive to the “Historian’s Craft.” Moreover, he was invested in employing a specific approach in writing his global History of Genocide. This approach revolved around his interest in psychology and frequently depended upon his psychologically attentive readings of testimonies. After detailing Lemkin’s psycho-cultural approach, this article compares his use and readings of victim testimony in his writings on mass violence in Western and non-Western societies. Ultimately, it argues that Lemkin’s methodology, source material, personal biography, and calls for “psychological relativism” all offer insight into one of the central tensions underlying Lemkin’s global history: his uneven attribution of psychological complexity and thus humanity to all victims of mass violence and genocide. The article concludes by reaffirming the import of Lemkin’s legacy amidst today’s “global turn.”
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".