Belongingness to Canada: Synthesizing Canadianness and Muslimness among Newly Emergent Canadian Muslims
Bibliographic record
Abstract
The recent statistic reveals the number of Canadian Muslims increases multifold in decades. It is predicted that the Canadian Muslim population will grow significantly. The demographic postures of varied Canadian Muslims offer several features requiring scholarly attention and action from all interested stakeholders to look into the situation. That is to evoke Canadianness among those newly emergent Canadian Muslims who came to Canada as immigrants or born here and grown-up as Muslim. When each boundary is negotiated, the spectrum of Muslimness and Canadian-ness is synthesized in the making. This ongoing situation demands particular action to nurture a sense of belongingness for newly emergent Canadian Muslims to protect and promote Canadian multicultural society amidst external and internal challenges such as Islamophobia and radicalism. Based on scoping reviews on selected pieces of literature, the idea of finding a new model or denomination of Islam in Canada is a convincing step to synthesize Canadianness and Muslimness, which reflect the empirical situation of newly emergent Muslims in Canada. The history of the first mosque built in Canada taught us how the synthesis can be practically applied, how flexible Islam can be genuinely promoted, and the lines of doctrine and cultural difference can be deliberately blurred. This ethos demonstrates compatibility with Canadian values of openness and respect for diversity.
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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 | 0.001 |
| Science and technology studies | 0.003 | 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".