Canada and African Refugees: It Is Complicated, but Opportunities Exist for a Partnership
Bibliographic record
Abstract
Canada is a global leader in addressing refugee issues, particularly in the area of resettlement, but has a complicated relationship with African refugees. The complication is most profound in the case of those living in refugee camps in Africa. In addition, Canada's commitment toward peacekeeping—which it deems a solution for conflicts that are the leading cause of population displacement in the context of Africa—is fraught with complexities. This article reviews the complications underlying Ottawa's response to refugee issues from Africa, arguing that in the next 25 years, Ottawa can change its complicated relationship with Africa into a partnership aimed at providing a solution to the myriad refugee crises. Such a partnership will necessarily include contributing financial and technical support to refugee-hosting countries in Africa and returning to active participation in peacekeeping in Africa.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.038 | 0.015 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".