Border trouble: critical reflections on the Canada-US Safe Third Country Agreement Litigation
Bibliographic record
Abstract
The Canada-US Safe Third Country Agreement (STCA) has been subject to two different legal challenges before three different Canadian courts and considered in five different judicial decisions. This notwithstanding, the litigation surrounding its legal validity is not yet conclusively determined. This article analyses all five STCA decisions to develop a critical reading of the leading decision as issued by the Supreme Court of Canada in 2023. It posits that the Supreme Court of Canada, like the appellate courts before it, erred in its understanding of the STCA. Specifically, the Court did not engage the facts on record in sufficient detail, and did not meaningfully consider how asylum seekers' positionality informs their legal experiences. As a result, the Court arrived at flawed legal findings that mischaracterise the STCA's operation and effect. The article concludes by arguing for a shift away from this approach as the STCA litigation continues.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".