Bibliographic record
Abstract
This study traces the development of prose, poetry, drama, and (creative) nonfiction written in English by Canadians of Ukrainian descent during the twentieth century. The thesis argues that, although Ukrainian Canadian literature has been underrepresented in Canadian and Ukrainian Canadian studies, it makes a substantial contribution to ongoing debates about the ways in which individuals (re)define their sense of self, community, history, and home in the process of writing. Chapter One provides an overview of Ukrainian Canadian history, and outlines the development of a Ukrainian Canadian literary tradition. Chapter Two examines the assimilationist rhetoric articulated by such non-Ukrainian Canadian writers as Ralph Connor, Sinclair Ross, and Margaret Laurence, as well as that of Vera Lysenko (author of Yellow Boots, 1954, the first English-language novel by a Ukrainian Canadian). Chapter Three focuses on Maara Haas's novel The Street Where I Live (1976), George Ryga's play A Letter to My Son (1981), and Andrew Suknaski's poetry (published in Wood Mountain Poems, 1976; the ghosts call you poor, 1978; and In the Name of Narid, 1981), and explores these writers' responses to the policies and practices of multiculturalism. Chapter Four identifies the shift toward transnational or transcultural discourses of individual- and group-identity formation in Janice Kulyk Keefer's and Myrna Kostash's writing, especially that which records their travels "back" to Ukraine. The central argument of the thesis is that if Ukrainian Canadians are to maintain meaningful ties to their ethnic heritage, they must constantly—if paradoxically—reinvent themselves as Ukrainians and as Canadians. In examining this paradox, the study draws parallels between Lysenko and Kulyk Keefer, both of whom rely on conventional narrative techniques in their writing and privilege nation-based models of identity that marginalize the experiences of ethnic minorities. Haas, Ryga, Suknaski, and Kostash, by contrast, experiment with multiple languages and genres: shaped, thematically and formally, by their experiences as hybrid subjects, their texts illustrate that ethnicity is less product than process; less fixed than fluid; constantly under construction and open to negotiation. The concluding chapter of the thesis, reflecting on the past and the present of Ukrainians in Canada, calls for the next generation of writers to continue re-imagining their communities by pushing the boundaries of existing language and forms.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.027 | 0.011 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".