Bibliographic record
Abstract
According to the Canadian Customs records that preserved in the archives on September 9, 1891 well-known Ukrainian Calician Ivan Pylypiv and Wasyl Yelynyak came to Canada. Following them hundreds of thousands of Ukrainians immigrated to the new land, as Canada was called by those who got there. The author investigates the immigration waves of the Ukrainians to Canada: before World War I; between Wars; after World War II; and after collapsing of the Soviet Union. Also, the Cana- dian researches talking about one more wave of the Ukrainian immigration to Canada – from the begining of 80th last century from Poland. According 2011 Canadian census of population and the counts of the last years there are more then one million and three hundred of thousands persons that recognized themselves of Ukrainian descend. The author charaterizes the peligious, cultural, national and political life of Ukrainians in Canada. The main role in this paper is dedicated to Ukrainians role for Canadian political life, their involvement into local, provicial and federal governmental structure. Keywords: Post-communist countries of CEE, theoretical and methodological approaches, political transformation
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".