Canada’s Treatment of Non-Citizens through the Lens of the United Nations Individual Complaints Mechanisms
Bibliographic record
Abstract
Abstract The United Nations (UN) human rights treaty bodies play an important role in defining the scope and the nature of non-citizens’ rights. This article offers a critical overview of the UN human rights case law from 2008 to 2018 pertaining to non-citizens — notably undocumented migrants, refused asylum seekers, and permanent residents ordered deported — in Canada. It examines the jurisprudence of the three UN human rights treaty bodies recognized by Canada as having competence to receive and consider individual complaints — namely, the UN Human Rights Committee, the Committee against Torture, and the Committee on the Elimination of Discrimination against Women. The purpose of this examination is two-fold. First, it intends to foster a better understanding of the cases lodged by non-citizens before the UN human rights treaty bodies. The second aim is to explore the substantive issues that the UN committees’ jurisprudence on non-citizens reveals about Canada’s immigration decision-making and enforcement. It is argued that some groups of non-citizens in Canada are at risk of being deported to persecution or hardship in violation of the non-refoulement principle and Canada’s international human rights obligations. The article illuminates several loopholes identified by the UN treaty bodies in Canada’s immigration and refugee protection system that heighten the risk of refoulement .
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".