Emerging from the Pandemic: Understanding the Canada-US land border requirements
Bibliographic record
Abstract
The restrictions on ‘non-essential’ travel at land and ferry crossings enacted by Canada and the United States in March 2020 remained largely unchanged for over a year. During the first fifteen months of the restrictions, Canada implemented some exemptions for family members and compassionate reasons and changed some entry requirements, while the US restrictions remained intact. After an unprecedented period of a heavily restricted land border, Canada began to ease restrictions for fully vaccinated US travelers in August 2021, with the US following in November. However, much like the restrictions themselves, definitions and requirements vary by country (and for the US, by mode). Because so many travelers crossing the border are doing so in both directions, the discrepancy between Canadian and US requirements will cause confusion and delays at the border, unless travelers are well educated about what is required by both countries. Canadian entry requirements have already resulted in confusion for travelers, and this situation is likely to worsen when US land border restrictions ease and cross-border travel volumes increase. This Border Brief is intended to provide clarity and guidance on the land border requirements for travelers crossing the Canada–US border, in both directions.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".