As Good as it Gets? Security, Asylum, and the Rule of Law after the Certificate Trilogy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article uses constitutional discourses on the legality of security certificates to shed light on darker, neglected corners of the security and migration nexus in Canada. I explore how procedures and practices used in the certificate regime have evolved and migrated to analogous adjudicative and discretionary decision-making contexts. I argue, on the one hand, that the executive’s ability to label persons security risks has been subjected to meaningful constraints in the certificate regime and other functionally equivalent adjudicative proceedings. On the other hand, the ability of discretionary decision makers to deport individuals who pose de jure security risks to face torture or similar abuses remains effectively unconstrained—so much so that it is doubtful that Canada has complied with Suresh. If the Supreme Court of Canada takes its own rationale in the certificate trilogy seriously, it must either revise its position in Suresh or encourage the extension of the procedures and practices used in the certificate regime to the entire security and migration nexus, including the removal process.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it