Witnesses, Deniers and Bourgeois Troublemakers. The Holodomor and Ukrainian-Canadian Collaboration in Marsha Forchuk Skrypuch’s Winterkill (2022)
Bibliographic record
Abstract
Abstract The article examines Marsha Forchuk Skrypuch’s Winterkill (2022), a recent Holodomor middle-grade historical novel issued by Scholastic, and showcases that Skrypuch explores the implicated position of North Americans – especially Soviet collaborators and journalists – in the context of the famine and Stalin’s collectivization. Most notably, Winterkill brings attention to the actions of Rhea Clyman, a Jewish-Canadian journalist who wrote factual articles about the situation in the Soviet Union but until the mid-2010s was largely forgotten. In the first part of the article, the author briefly introduces the historical background and points to the recent increase of Holodomor-themed Anglophone books. Then, close reading Winterkill , they argue that many characters in the novel, including the ones based on Clyman and Alice, a Ukrainian Canadian girl she met in Kharkiv in 1932, emerge as what Michael Rothberg has called “implicated subjects.” The article demonstrates that at first the foreigners in the novel are enchanted with Stalinism, accept its benefits, and their actions – directly and indirectly – contribute to the destruction of the Ukrainian countryside. Winterkill showcases both the importance of recognizing one’s implication and sharing the testimony of the Holodomor witnesses, hence keeping the memory of the famine and its victims alive.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".