The nation on the Catwalk: Traveling memories of belonging in the Miss Kiev Pageant in Winnipeg (1979–1984)
Bibliographic record
Abstract
This article examines how ethnic, national, and diasporic belonging were negotiated through the Miss Kiev pageant in Winnipeg. Drawing on 27 contestant entry forms from 1979 to 1984, preserved in the Sylvia Todaschuk fonds, it analyzes how young Ukrainian Canadian women enacted Ukrainianness not only as cultural continuity but as a strategic mode of civic positioning within Canadian public life. Situated in the context of Canada’s post-1971 multicultural turn, the pageant is read as both a site of diasporic memory and a platform for asserting recognition within broader national narratives. Employing thematic and critical discourse analysis, the essays are approached as microhistorical texts shaped by inherited narratives, institutional logics, and generational responsibility. The article demonstrates that Canadian multiculturalism was not merely reflected in these performances but actively reinterpreted from below, revealing both its enabling rhetoric and its structural limits in mediating difference and belonging.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.029 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".