“A More Roaring Holocaust”: Holocaust, Holodomor, and Atrocity Propaganda in Soviet American Communist Media
Bibliographic record
Abstract
This essay analyzes the use of what the controversial author Arthur Koestler called “atrocity propaganda” by American Communist media to advance the interests of the Soviet government in the 1930s as part of the transnational political framework of the Communist International (Comintern). Specifically, the newspaper Daily Worker is examined through its deployment of the term “holocaust,” its denial of the Holodomor, and its justification of the Great Purge to understand how such propaganda can serve authoritarian states and their proxies. The author concludes that the broader Bolshevik logic of “the ends justify the means” allowed the Communist Party of the United States of America (CPUSA) press organs to use real and hypothetical capitalist crimes to provide rhetorical cover for mass atrocities committed by the Stalinist regime.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 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".