Ukrainian Canadians’ Tremendous Contributions to a Mosaic Canadian Society (in the Context of Celebrating Their 125th Settling in Maple Leaf Country)
Bibliographic record
Abstract
Noteworthy, 2016 has become another crucial landmark in recognizing the remarkable impact of Ukrainian vigorous community, which succeeded in preserving and boosting its heritage values, traditions and language, on all Canada’s walks of life. In this context, this research paper provides an overview of historians, scholars and community members, whereas focusing on a tremendous role that Ukrainians (such as worldly acknowledged Paul Yuzyk, Orest Subtelny, John Sopinka Chrystia Freeland, Sylvia Fedoruk, Edward Michael Stelmach, Myrna Kostash, and newly known Roberta Bondar, Ann Morash, Petro Neborskij, Oleh Lesiuk) play in the Canadian multicultural society. Owing to their social, political and economic integration, Ukrainians have reached a rather high level of culture perception and blending into a mosaic Canadian society. Looking back on a record of Ukrainian Canadians’ achievements, we can witness that by the early 1990’s some of the high-rank positions have been held by the children or grandchildren of humble Ukrainian immigrants, and, moreover, they have earned accomplishments in various domains. To conclude, Ukrainian Canadians proved that by their exemplary service, enthusiasm and commitment to Canada’s common purpose, they could, collectively as a community, work toward a common goal, ensure their views reached and establish their powerful and valuable existence in Canada. Keywords:The 125th anniversary, Canada, Ukrainian community, tremendous achievements, multicultural society
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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 | 0.019 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".