Atlas of the Land Entry Ports on the Canada-US Border
Bibliographic record
Abstract
This atlas identifies the names and locations of all legal land crossing points along the Canada – U.S. border. We omit portsof-entry that are considered “land” ports by the Canada Border Services Agency (CBSA) and/or U.S. Customs and Border Protection (USCBP) but that are actually served by boat (e.g., the ferry landing at Anacortes, WA). Each depicted point is one at which a vehicle can directly travel by road (or railroad) from U.S. to Canadian soil. There are 146 in all, of which 26 are rail lines and 120 are roadways (19 bridges, 1 tunnel, and 100 roads). Two of the 120 roadways (Stewart, BC, and Four Falls, NB) lack a USCBP facility, while all others are staffed by both agencies. For record-keeping purposes, USCBP groups its 118 roadway facilities into 80 “master” ports, with data from neighboring small ports aggregated under the name of the master port.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.011 | 0.028 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".