What does a tightened US-Canada border mean for asylum seekers?
Bibliographic record
Abstract
It's not just the southern US border that's changed policy this year - it's also happening at the border with Canada. For decades, border crossings like Roxham Road near Quebec have allowed migrants to enter Canada from the United States to seek asylum. In March, the two countries extended a deal known as the Safe Third Country Agreement, which allows Canada to send asylum seekers back to the United States. The deal had previously only applied to official border points. So what will a harder border mean for Canada, and for the people trying to get there?In this episode: Naqib Sarwary (@SarwaryNaqib), Philanthropy Officer, Amnesty International Canada, and Afghan refugeeAlex Neve (@AlexNeve24), Former secretary-general, Amnesty International CanadaEpisode credits:This episode was produced by Ashish Malhotra with Sonia Bhagat and our host, Natasha Del Toro, in for Malika Bilal. Miranda Lin fact-checked this episode.Our sound designer is Alex Roldan. Tim St. Clair mixed this episode. Our lead of audience development and engagement is Aya Elmileik. Munera Al Dosari and Adam Abou-Gad are our engagement producers.Alexandra Locke is The Take's executive producer, and Ney Alvarez is Al Jazeera's head of audio.Connect with us:@AJEPodcasts on Twitter, Instagram, and Facebook
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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 | 0.000 | 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) | 0.309 | 0.003 |
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; both teacher heads agree on what is shown here.
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".