THE DIOCESE OF THE UKRAINIAN GREEK-CATHOLIC CHURCH IN CANADA AND ITS PARTICIPATION IN THE ORGANIZATION OF THE LIFE OF UKRAINIAN IMMIGRANTS AT THE BEGINNING OF THE XX CENTURY
Bibliographic record
Abstract
Background. Migration of Ukrainians to Canada at the beginning of the 20th century – a complex and multifaceted page in the history of Ukrainian emigration. In its scope, it covered various social strata, which exported Ukrainian culture, traditions, and the church beyond ethnic territories. The church, in particular, occupied a special place in the life of the diaspora, turning into an authoritative institution. In particular, the article talks about the role of the Ukrainian Greek Catholic Church in the organization of assistance to Ukrainian resettlement in Canada. Methods. For a comprehensive view of the role of the diocese of the UGCC in Canada, its mentoring programs for Ukrainian immigrants, the principle of systematicity, analytical understanding, and chronological sequence was applied, which was used for a step-by-step analysis of the work of the diocese of the UGCC in Canada with Ukrainian immigrants. Results. The article presents the beginnings of the work of the diocese of the UGCC in Canada with Ukrainian emigrants in the first decade of its creation. In particular, the main emphasis is placed on the activities of the first Greek-Catholic bishop Nikita Budka, who was the first to create mentoring programs at the diocesan level for the faithful of the UGCC. The work reveals a wide range of challenges faced by both emigrants and the church. Were demonstrated the integrity of the social service of the UGCC, the role of Metropolitan Andrey Sheptytskyi in the organization of the Ukrainian diaspora, etc. Conclusions. Based on the analysis of a wide range of special sources, the key vectors of the activities of the Greek Catholic Diocese of the UGCC in Canada, primarily its head Nikita Budka, have been identified.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".