MétaCan
Menu
Back to cohort

WHERE DID UKRAINIANS SETTLE IN CANADA AND WHY: A BRIEF OVERVIEW

2025· article· en· W4410225225 on OpenAlexaboutno aff
Myroslava Svitlyk

Bibliographic record

VenueNaukovì zapiski Nacìonalʹnogo unìversitetu Ostrozʹka akademìâ Serìâ Ìstoričnì nauki · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGeographyHistory

Abstract

fetched live from OpenAlex

The article provides a brief overview of the history of Ukrainian emigration to Canada. In particular, the historical context and features of different waves of emigration, starting from 1891 to the present day, are discussed. Particular attention is paid to the choice of residence by newcomers and the factors that influenced this decision. The author traces how immigration policy, as well as employment opportunities and the presence of relatives and friends, affected the settlement of Ukrainians in Canada. In particular, the article provides information about the first wave of immigration, when the government promised 64 hectares of land as homesteads for a nominal fee of $10. As a result of this policy, Ukrainian settlements were founded in Manitoba, Saskatchewan, and Alberta. The article highlights the historical background of the second and third waves of emigration and the peculiarities of Canada's policy at the time, which resulted in a significant number of Ukrainians settling not only in the West of the country, but also in Ontario and Quebec. The article notes that there is no consensus among scholars on whether the arrival of Ukrainians from Poland, Yugoslavia, and other Central European countries in the 1980s should be distinguished as a separate wave. It also discusses emigration after the collapse of the Soviet Union and the resettlement of Ukrainians in Canada over the past 30 years. Despite the fact that in the twenty-first century Ukrainians live almost all over the country, Manitoba, Alberta, and Saskatchewan have the highest percentage of people in Canada who declare their Ukrainian ancestry. Special attention is paid to the wave of emigration caused by russia's full-scale war against Ukraine. Thanks to a special program of the Government of Canada, Canada-Ukraine authorization for emergency travel, 298 thousand Ukrainians arrived in Canada between March 17, 2022 and April 1, 2024. The article presents the results of surveys of newcomers and information about the factors that influenced their choice of place of residence.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.049
Threshold uncertainty score0.354

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.014
Science and technology studies0.0070.002
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.009
GPT teacher head0.257
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueNaukovì zapiski Nacìonalʹnogo unìversitetu Ostrozʹka akademìâ Serìâ Ìstoričnì naukiSame topicMigration and Labor DynamicsFrench-language works237,207