Bibliographic record
Abstract
This paper explores the way that the Holodomor – the famine-genocide that took place from 1932-1933 in Soviet Ukraine under Stalin’s rule – is remembered in contemporary contexts. It analyzes how the opposing systems of capitalism and socialism are portrayed through this memory to answer the question: how has the dominant memory of the Holodomor been used to invalidate or vilify the idea of socialism? The paper draws on the empirical example of University of Alberta lecturer Dougal MacDonald’s denial of the Holodomor in November 2019, specifically through a discussion of the reactions to this statement. It discusses the concept of historical denialism and draws on the comments of Alberta Premier Jason Kenney in response to MacDonald, arguing that his comments grouped all communists and socialists with Holodomor deniers. Finally, the paper draws on how the memory of the Holodomor is used in international relations, concluding that it has become a ‘living’ history and a constant reminder of the supposed dangers of communism in any form as the villain is no longer Stalin’s regime, but the entire ideology.
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 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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".