Bibliographic record
Abstract
The current state of the Ukrainian diaspora, which is living in Canada and the United States, is analysed in this article. The Ukrainian diaspora in these countries has more than a century history. It is the second (Canada) and the third (USA), after the Russian Federation in the world by the number of Ukrainians. More than a third of the total number of Ukrainians outside of our country is overall living in Canada and the United States. The results of the census conducted in these countries, including their ethnocultural component, ethnicity, country of origin, native language and the language usually spoken at home were information basis of the study. In accordance with the results of the census, which reflect the resettlement and ethnolinguistic conformity of the Ukrainian diaspora, the author maps in the environment of program ArcMap are created. The Ukrainian diaspora resettlement in terms of provinces (Canada) and states (the USA) is analysed in the article. As a result of the late XX–early XXI century census, changes in its settlement is also revealed. It was found that Canadian Ukrainian diaspora lives mainly in the provinces, where Ukrainian emigration had begun. In the US, with the appearance of the fourth “wave” of Ukrainian emigration its resettlement has changed: unlike the early twentieth century when Ukrainians mostly arrived in Pennsylvania, New York and Ohio at present Ukrainians prefer emigration to the states of Washington, Oregon and California. The study found that the Ukrainian diaspora in these countries, despite the preservation of their ethnic origin, undergo significant linguistic assimilation. According to census found that in Canada and the USA minor ethnolinguistic conformity of the Ukrainian diaspora. The territorial regularity in ethnolinguistic conformity of Ukrainian diaspora: the smaller in number Ukrainian diaspora, the higher ethnolinguistic conformity are traced. Key words: Ukrainian diaspora, assimilation, entho-linguistic conformity, immigration, settlement, native language.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".