Multiculturalism, memory, and ritualization: Ukrainian nationalist monuments in Edmonton, Alberta
Bibliographic record
Abstract
Canadians of Ukrainian descent constitute a significant part of the population of the Albertan capital. Among other things, their presence is felt in the public space as Ukrainian monuments constitute a part of the landscape. The article studies three key monuments, physical manifestations of the ideology of local Ukrainian nationalist elites in Edmonton: a 1973 monument to nationalist leader Roman Shukhevych, a 1976 memorial constructed by the UkrainianWaffen-SSin Edmonton, and a 1983 memorial to the 1932–1933 famine in the Ukrainian SSR. Representing a narrative of suffering, resistance, and redemption, all three monuments were organized by the same activists and are representative for the selective memory of an “ethnic” elite, which presents nationalist ideology as authentic Ukrainian cultural heritage. The narrative is based partly upon an uncritical cult of totalitarian, anti-Semitic, and terroristic political figures, whose war crimes, ethnic cleansing, and collaboration with Nazi Germany the nationalists deny and obfuscate. The article argues that government support and direct public funding has strengthened the radicals within the community and helped promulgate their mythology. In the case of the Ukrainian Canadian political elite, official multiculturalism underwrites a narrative at odds with the liberal democratic values it was intended to promote. The failure to deconstruct the “ethnic” building blocks of Canadian multiculturalism and the willingness to accept at face value the primordial claims and nationalist myths of “ethnic” groups has given Canadian multiculturalism the character of multi-nationalism.
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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 | 0.002 |
| Science and technology studies | 0.033 | 0.011 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".