The Canadian Muslim Network Tribute to Civil Liberties in Canada: In Honour of Maher Arar and Monia Mazigh
Bibliographic record
Abstract
The Honourable Mr Stephane Dion, Leader of the Liberal party of Canada,M. Gilles Duceppe, chef de la Parti Bloc Quebecois, The Honourable JackLayton, Leader of the NDP party, senators and parliamentarians, Mr. Ararand Dr. Mazigh, honored guests, or in likely more appropriate terms for thisevent, friends and fellow Canadians:Assalamu Alaykum. May you all be in Peace.Let me welcome you all with the greeting of Islam on behalf of theCanadian Muslim network; a network of Muslim organizations acrossCanada from BC to Alberta all the way to Ontario, Quebec and the Maritimes.The network was put in place to create an environment of collaborationand communication between Muslim organizations on issues of interestto Muslim Canadians nationally as well as to enhance communication andcollaboration between Canadians of Muslim faith with Canadians of all otherfaiths.The list of names of the organizations in the network is at the back ofyour program (attached here as appendix), and I invite you to look at it indetail to appreciate the breadth of representation here tonight. This initiativeis also supported by a multitude of other organizations that are also listed atthe back.As you may expect civil liberties is high on our agenda. The CanadianMuslim Network is proud to have organized this incredible event to pay tributeto our cherished civil liberties in Canada, to recognize the massive effortthat many in this room exerted to ensure we restore our civil liberties and protectthem for the future of our children and to remind ourselves that while wehave reasons to celebrate our recent successes, the road ahead is still long.We are here today to pay tribute to civil liberties in Canada. Canada is acountry that was never defined by the colour of the skin of its people or theirreligion, rather Canada was always a country defined by its values. Canada ...
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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".