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Record W2618910019

МЕЖВОЕННАЯ ЭМИГРАЦИЯ БЕЛОРУССКОГО И УКРАИНСКОГО НАСЕЛЕНИЯ В КАНАДУ

2010· article· ru· W2618910019 on OpenAlexaboutno aff
Коваль Ольга Владимировна

Bibliographic record

VenueТруды БГТУ. Серия 5: Политология, философия, история, филология · 2010
Typearticle
Languageru
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationUkrainianGovernment (linguistics)ImmigrationPolitical scienceDestinationsGeographyWestern europeEconomic historyEconomyHistoryEuropean unionTourismEconomicsLawInternational trade
DOInot available

Abstract

fetched live from OpenAlex

Канада была одной из основных стран, куда направлялась экономическая эмиграция из Западной Беларуси и Западной Украины в межвоенный период. С 1918 по 1939 г. в Канаду эмигрировало более 100000 украинцев из Западной Украины и около 15000 белорусов из Западной Беларуси. Канадские власти абсолютное большинство эмигрантов заселили в провинциях Саскачевана, Альберта, Манитоба и Квебек. Канадские эмиграционные службы вводили ряд ограничений для эмиграции, которые касались большого количества эмигрантов. В данной статье использованы материалы украинской эмигрантской периодики, белорусские и украинские современные исследования.Canada was one of the main destinations of emigration from Western Belarus and Western Ukraine in the period between the two world wars. In the period from 1918 till 1939 the number of emigrants from Western Ukraine to Canada was more than 100000 people, the number Belarusians from Western Belarus was about 15000 people. The absolute majority of emigrants were settled by Canadian government in the provinces Saskatchewan, Alberta, Manitoba and Quebec. The number of emigrants coming to that country was determined to a great extent by the Canadian government`s immigration policy. This article is based on materials of Ukrainian diasporan press, Belarusian and Ukrainian modern researches

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.006
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.008

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 head0.007
GPT teacher head0.220
Teacher spread0.214 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueТруды БГТУ. Серия 5: Политология, философия, история, филология→Same topicCanadian Identity and History→French-language works237,207→