Review of <i>Re-Imagining Ukranian Canadians: History,Politics, and Identity</i> edited by Rhonda L. Hinther and Jim Mochoruk
Bibliographic record
Abstract
Hinther and Mochoruk offer the reader an interdisciplinary look at aspects of Canadian history through the prism of the Ukrainian Canadian experience. The volume includes contributions from an array of specialists: historians, literary critics, archivists, curators, geographers, and others. Consequently, the quality of the articles is wide-ranging, but overall the editors succeed in demonstrating that the immigrant experience is neither homogeneous nor adequately studied. The editors' introduction is most helpful, succinctly describing the state of academic inquiry into the Ukrainian Canadian experience. The editors accurately describe the "mythology" of the prairie peasant-cum-dangerous foreigner. They present the evolution of scholarship from essentializing Ukrainian identity to recognizing its complex nature, noting the invaluable works of Frances Swyripa and Orest Martynowych. The volume's focus on the Ukrainian Canadian left and the early and mid-twentieth-century shift of community activity to urban centers deepens our understanding of this complexity. Nevertheless, there is a surprising lack of attention to the prairie experience.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.015 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".