Challenging the Nationalist Hegemony : The Third Generation Displaced Persons and New Approaches to the Difficult Past
Bibliographic record
Abstract
Recent years have seen the emergence of critical studies pro-duced by third- generation Displaced Persons (hereafter DPs),questioning ethno-nationalist historical narrations, hegemonicin the community. Yet, in the Ukrainian diaspora in Canada, suchstudies have been absent. Kassandra Luciuk’s current study iswritten by someone raised in the political elite of the Ukrainianethno-nationalist community, in dialogue with and challeng-ing the historical memory that her parents dedicated their livesto promote. Her study reads like a Bildungsroman of a youngperson whose eyes were opened to an ostracized rivalling leftistcommunity tradition. In the process, she started to question theNationalists monopoly of defining what it means to be Ukrainian inCanada. Her still-unpublished 2021 dissertation sheds new lighton ultra-nationalist political violence in Canada and the central roleof Ukrainian Nationalists in establishing normative multiculturalismin Canada. The Nationalist hegemony in the community was es-tablished through the erection of monuments, a politicized folklore,and the development of an elaborate victimization narrative ofSoviet genocide abroad, Canadian concentration camps and “lin-guistic genocide” at home. Through claiming a share for GalicianUkrainians in the settler colonialist project, Ukrainians insisted on aspecial status as a “founding people” on the Canadian prairies
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.032 | 0.086 |
| Scholarly communication | 0.014 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".