WHO IS MY NEIGHBOUR? THE DUTY OF CARE IN THE IMMIGRATION CONTEXT: A PERSPECTIVE FROM CANADIAN CASE LAW
Bibliographic record
Abstract
This article reviews and analyzes recent Canadian jurisprudence on immigration-related torts, situating it in the context of the contrasting logic of immigration and tort law. Immigration law’s focus on the absolute power of the state to control admission directs courts away from the recognition of the duty of care. In contrast, tort law theory does not preclude the possibility of private law duties to non-citizens, especially in light of the absence of other effective remedies to address the power imbalance between the host state and the non-citizen. The article examines how these two narratives were negotiated in cases of alleged negligence in immigration processing. It problematizes certain aspects of the current construction of the duty of care towards non-citizens and offers some suggestions for a more nuanced understanding of the factors considered under the Anns/Cooper test.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.059 | 0.060 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".