Canadian Muslim Excellence: A Time to Celebrate, Educate, and Reflect
Bibliographic record
Abstract
This study redresses the limited presence of stories of Muslims in Canadian archival history and curriculum, drawing attention to the racial issues as an antidote, so that public awareness of anti-Islamophobia strategy can be made known. The authors searched, preserved, and distributed the diverse and inclusive stories of Muslim Canadians by employing a comprehensive, multidisciplinary strategy to map the political, ideological, institutional, and economic contributions of Canadian Muslims who are working for a better Canada. The authors made these stories readily available and accessible as an open educational resource under a Creative Commons’ license, by creating and constructing a digital archive. This research also works towards developing resources and connections for a range of audiences to develop learning aids to teach Muslim Canadians history. The fabric of this country would not be the same, if it were not for diversity. Muslim Canadians are valued contributors to the Canadian climate, and deserve to be celebrated, rather than mistreated. Sharing the stories of Muslim Canadians who have had a positive impact on this country is intended to increase the positive messaging surrounding some of the wonderful contributions Muslim Canadians have accomplished.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".