Foreign Trade Vessels on the Great Lakes: The Coast Guard's Regulatory Role
Bibliographic record
Abstract
The Great Lakes/St. Lawrence Seaway system, spanning approximately 2,300 miles, is a significant waterborne highway for foreign trade and commerce into and out of America's heartland. Each year, thousands of transits are made between ports on the Great Lakes by approximately 1,400 commercial vessels engaged in foreign trade. One little-known mission of the U.S. Coast Guard is to regulate private associations of U.S. pilots charged with providing safe navigation for these ships. Foreign trade vessels are oceangoing ships that are either owned or operated by foreign companies, or Canadian- or U.S.-owned or operated companies operating on registry endorsements and engaged in international trade. These vessels regularly enter the Great Lakes to deliver foreign cargo to U.S. and Canadian ports and load cargos destined for foreign countries. These vessels differ from domestic Great Lakes ships that engage exclusively in domestic trade and only rarely leave the Great Lakes system. This article discusses the pilotage, guidance, and safety measures taken by the U.S. Coast Guard on behalf of the shipping industry devoted to foreign trade that traverse the Great Lakes, as well as the regulations and rates that pertain to this industry.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".