Bibliographic record
Abstract
In September 2002 a Canadian citizen of Syrian origin, Maher Arar, was detained at JFK airport in New York City. Arar was detained in New York for eleven days prior to an extraordinary rendition to Syria via Jordan. In Syria, Arar was subject to physical abuse and torture, and held until October 2003. Following his release, a commission of inquiry was held in Canada. Among other things, this commission documented issues with the Canadian state’s sharing and receiving of material about Arar and his mistreatment and torture in Syria. Via engagement with material from the ‘Inquiry into the Actions of Canadian Officials in Relation to Maher Arar’ (the Arar Commission) this chapter highlights issues that can arise with the sharing of the Official Record between states. The chapter has three main sections. The first section documents the circumstances that led to the capture of Arar in New York, his treatment in custody in the US, his rendition to, and brief detention in, Jordan and his transfer to and almost year-long detention in Syria. Arar was mistreated while in Jordan, and over a more prolonged period was tortured in Syria. Next, the chapter outlines the main documents placed into the Public Record by the Arar Commission. Finally, the chapter highlights two key issues arising from the sharing of the official records between two different states.
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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 | 0.006 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.057 | 0.017 |
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".