Narrating Dignity: Islamophobia, Racial Profiling, and National Security Before the Supreme Court of Canada
Bibliographic record
Abstract
Captain Javed Latif, a Muslim Canadian pilot from Pakistan, was denied pilot refresher training by Bombardier Aerospace Training Center in Canada based on information received from US national security officials. Almost 12 years after Captain Javed Latif’s ordeal began, the Supreme Court of Canada affirmed a decision by the Quebec Court of Appeal overturning a finding by a Quebec Human Rights Tribunal that Latif had been racially profiled. The Supreme Court of Canada’s decision ultimately exposes and perpetuates a deep unwillingness to challenge the stereotyping of Muslims as terrorists in Canada. In response, this commentary seeks to excavate Captain Latif’s fuller story largely through a reading of silences. It critically analyzes the Court’s claim that the Tribunal had little or no evidence before it to ground its finding of discrimination.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.079 | 0.033 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.014 | 0.017 |
| Insufficient payload (model declined to judge) | 0.003 | 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".