Migration, resettlement and integration of survivors of the 1994 genocide against Tutsi in Rwanda in Canada: A community‐based study
Bibliographic record
Abstract
Abstract This article describes the migration, resettlement and integration challenges and strengths of members of the African Diaspora in Canada who identify as survivors of the 1994 genocide against the Tutsi of Rwanda. Data were generated from semi‐structured interviews with 16 adult community members and a thematic analysis conducted inductively and collectively with the research team consisting of academics and representative community members. This article provides insights into the unique long‐term impacts of genocide on migration, resettlement and community‐level functioning for this group of African migrants living in a mid‐Western city in Canada. Results highlight how Canadian immigration policies limit migration options and prevent family reunification for migrants with none or few remaining family members and the associated resettlement challenges experienced by this group. Results also show the vital role the Rwandan Diaspora community, and particularly other survivors, play in supporting resettlement, integration and overall well‐being of genocide survivors.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".