The Organization of Ukrainian Nationalists (Mel'nyk Faction) and the Holocaust: The Case of Ivan Iuriiv
Bibliographic record
Abstract
This article explores the career path of Ivan Iuriiv, a supporter of the faction of the Organization of Ukrainian Nationalists led by Andrii Mel'nyk (OUN-M). During World War II Iuriiv joined Sonderkommando 10a of Einsatzgruppe D, and as a member of this detachment he played an active role in the extermination of Jewish communities in occupied territories of the Ukraine and the RSFSR. The author uses unpublished sources from German, Ukrainian, American, and Israeli archives to examine Iuriiv's political views, his involvement in Nazi crimes, his role as an OUN-M activist in the creation of Ukrainian auxiliary police forces in occupied Soviet territories, and his postwar fate in Western Europe and Canada. This close examination of Iuriiv's career and experiences contributes to our understanding of the participation of ethnic Germans in the Holocaust.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".