A Matter of Trust: Expanding the Preclearance of Commerce between Canada and the United States
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The thickening of the Canada-US border in response to post 9/11 security challenges has created new obstacles to cross-border trade and investment. However, preclearance of people and goods before they arrive at the physical border offers one of the best ways to address crossborder obstacles while ensuring public safety. Preclearance has a track record of success where it has been applied. It has proven to be a cost-effective way to provide air travelers with an economical way to clear customs and immigration before entering the United States from Canada. EU members are satisfied that they have succeeded in guarding their security, while promoting an integrated single market, by relying on a perimeter approach to preclearance. Canada and the United States currently rely on preclearance for trusted traveler and shipper programs. Building on these successful models, Canada and the United States should proceed to designing and implementing ambitious programs that use preclearance to cost-effectively ensure a secure and economical border crossing, for most travelers and shippers.
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.
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 | 0.002 |
| 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 it