Local impacts, global consequences: assessing the mass displacement and migration tied to Russia’s invasion of Ukraine
Bibliographic record
Abstract
Since Russia’s February 2022 invasion of Ukraine, the region’s dynamics have shifted considerably calling for an interdisciplinary assessment of the reverberating effects at home and abroad. This special issue of Canadian Foreign Policy Journal contributes to contemporary public affairs, refugee, migration, and diaspora studies by offering an overview of the broad impacts underway. The issue’s international authors give readers an opportunity to listen to voices addressing all levels of the invasion’s challenges–socially, politically, and economically–uniting thematic and regional expertise on this urgent topic while making linkages between Canada and the region. Their contributions bridge the disciplines of history, geography, political science, architecture, sociology, public policy, and philosophy. This introductory text provides an initial reflection on the pressing issues, summarizing the broad consequences of Russia’s invasion of Ukraine while outlining each author’s distinct contribution. In addition to discussions of the invasion's consequences, it also begins to frame the resultant openings—and challenges—of greater regional pluralism moving forward, as refugees and internally displaced persons leave their homes and interact with new host societies, both domestically and internationally. This special issue looks across the affected region while offering a unique view overseas into the impacts here in Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".