Migration and its Impact on Ritual Performance: The Shughnani Ismaili Diaspora of Montréal and the Ceremony of <i>Chirāgh-i Rawshan</i>
Bibliographic record
Abstract
This article investigates how the Shughnani Ismaili diaspora from Afghanistan observes a funeral ceremony called chirāgh-i rawshan (“the luminous lamp”) in Montréal, Canada. Using qualitative research and an interdisciplinary approach, it investigates the intersection of migration and ritual to analyse changes in the performance of this ceremony and its effect on ritual experiences. Situating the Shughnani Ismailis within the global Ismaili community, it sheds light on the communal dynamics of the Ismaili community in Montréal, Canada. The findings demonstrate that migration disrupts ritual performances, prompting the Shughnani Ismailis to continually adapt and (re)interpret the ritual’s symbolic meanings, gender roles, and ritual spaces to make sense of their belonging among their Ismaili co-religionists and within the broader Canadian society.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".