Counter-terrorism and alien justice: the case of security certificates in Canada
Bibliographic record
Abstract
This article examines the security certificate process that has been in effect in Canada since 1978 and the 2008 amendment (Bill C-3) of the Immigration and Refugees Protection Act. It highlights how democratic means can be used to subvert meaningful policy changes, and underscores the antinomy inherent in a nation-state's zeal to protect its citizens and appeals by a group of Arab Muslim men held under security certificates for suspected terrorist activities for their human rights to be recognised and respected by a state in which they are non-citizens. The problematic immanent in nation-states serving as guarantors of human rights and its concomitant misconstruing of human rights for citizenship rights are used to demonstrate that an ‘internal Other’ has been created in Canada. The security certificate, it is argued, in stipulating that detainees may request to be deported to countries where they regularly reside or hold nationality, makes them akin to Hannah Arendt's notion of the ‘rightless’ – people who have not only lost their home (i.e., polity) or ‘distinct place in the world’, but also their legal status. Consequently, even in an advanced democracy with grandiose claims to, and assurances of, individual liberty and fundamental freedoms, ‘rightless’ people face a great danger by the fact of being nothing beyond ‘human’.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.080 | 0.023 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 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".