Deportation on national security grounds within a culture of legal justification
Bibliographic record
Abstract
The thesis addresses the capacity of the legal system to deal with the deportation of non-citizens perceived to threaten national security in Canada and the UK. Gross has argued that in response to emergencies explicit provision should be made for extra-legal measures. However, Gross' endorsement of extra-legal measures overlooks available constitutional models. The thesis outlines a conception of constitutionality overlooked by Gross: Legality as an exercise in public justification. It then develops a response to threats to national security modelled on that conception. In terms of the principles of substantive review, the model builds on Canadian Charter jurisprudence, primarily that relating to s 7, to argue for a demarcation between constitutional rights and their limitation. Turning to procedures, the thesis refers to those of the Special Immigration Appeals. Commission (U.K.) to illustrate a reconciliation between procedural fairness and confidentiality in the area of national security.
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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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.056 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| 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".