An exploratory study of fourth wave Ukrainian immigration in Winnipeg : problems and perspectives of immigrants' adaptation
Bibliographic record
Abstract
Ukrainian immigrants' adaptation in the Canadian society is a multifaceted and an ongoing process. Four waves of the Ukrainian immigration can be traced within Canadian-Ukrainian history. The focus of this exploratory study is to examine the causes and the socio-economic and socio-cultural dimensions in adaptation of the recent fourth wave Ukrainian immigration in Winnipeg. The fourth wave of Ukrainian immigration to Canada occurred after Ukraine became an independent country in 1991. A literature review on Ukrainian immigration to Canada assisted in developing the starting point for understanding the causes for Ukrainian immigration and provided the overview of the major themes, which were traced in their socio-economic and socio-cultural adaptation. The study employed a qualitative research strategy and relied on primary data, collected through sixteen in-depth face-to-face interviews. Each interview explored a Ukrainian immigrant's adaptation experience in the areas of housing, education, employment, language and community connections. The research was designed to increase understanding about the recent Ukrainian immigrant's adaptation process in Winnipeg through determining their needs for community and social work services. The study's findings strongly indicate that the problems encountered by Ukrainian immigrants in the process of socio-economic and socio-cultural integration are both personal and social, necessitating the formulation of policies to facilitate the adaption process and create desirable outcomes. This thesis highlights the importance of developing a vigorous advocacy and community outreach informational programs to help Ukrainian newcomers in their adaptation in Winnipeg. These measures may help them cope with the isolation and occupational discrimination many of them experience during the first few years in Canada.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".