Repatriate Hassan Diab and Reform Our Unbalanced Extradition Law
Bibliographic record
Abstract
Canadians have recently become increasingly aware of the plight of Hassan Diab. Diab, a former Ottawa university professor, was extradited from Canada to France in 2014. He has since been held in custody without trial, on the basis of what can increasingly only be called trumped-up charges involving the bombing of a Paris synagogue in 1980. Recently, two prominent Canadian professionals, Bernie Farber and Mira Sucharov, published a piece in the Toronto Star in which they urged the government of Canada to put pressure on France to either try Diab or send him home. Both expressed their regret that they did not speak up earlier.\nI am one of a small number of Canadian legal academics with expertise in extradition law, and I have been following the Diab case since the beginning. I have mentioned it in my legal writing, spoken about it in public lectures and discussed it with lawyers on both sides. What I have not done up until now is express publicly a clear position. Reading Farber and Sucharov has moved me to do so, because I too feel that I should have spoken up sooner.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.045 | 0.014 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".