Capturing the Migration Memory of Canada’s Diverse Ismaili Muslims
Bibliographic record
Abstract
This paper examines the archived travelling exhibit, 50 Years of Migration, led by artist Aquil Virani, in collaboration with the Aga Khan Council for Canada. The paper highlights the Ismaili Muslim community’s migration journey to Canada following the 1972 expulsion of “Ugandan Asians.” The exhibit uses various materials—including photographs, testimonies, and historical records—to narrate the community’s resilience and resettlement into Canadian society. Drawing on Laurence Gouriévidis’ theories of memory and migration in museums, we analyze the creative direction that empower Ismaili voices and contribute to Canada’s broader narrative of multiculturalism. The exhibit’s community-centered approach—moving from a large institution, the Aga Khan Museum, to local jamatkhanas—emphasizes the importance of community-led memory projects. The partnership with the Aga Khan Council for Canada, the Aga Khan Museum, and Aquil Virani, with their shared commitments to cultural representation, is highlighted as a model for future migration exhibitions. Ultimately, 50 Years of Migration serves as a powerful tool for understanding the role of memory in shaping Canada’s multiculturalidentity.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".