It’s time to abolish the inhumane Canada-U.S. deal on asylum-seekers
Bibliographic record
Abstract
The Canadian government reportedly wants the United States to close a loophole in what’s known as the Safe Third Country Agreement (STCA).\nThe agreement allows Canada to send asylum-seekers back to the U.S. if they come to the border. But the deal only applies at official ports-of-entry, and not when asylum-seekers cross the border elsewhere — the loophole that Canada apparently wants eliminated.\nExpanding the STCA to cover irregular crossings would mean that thousands of asylum-seekers would be sent back to the U.S. after making their way to the Canadian border in the wake of worsening conditions there under President Donald Trump.\nThe current American administration, however, is unlikely to tweak the agreement. Trump doesn’t like refugees. He has imposed travel bans on refugees selected for resettlement; attempted to block entry to asylum-seekers arriving in a “caravan” at the southern U.S. border; he’s scorned an agreement to transfer 1,250 refugees from Australian detention facilities to the U.S. as “the worst deal ever.”
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.010 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.011 | 0.017 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".