U.S.-North American Trade And Freight Transportation Highlights: Transborder Freight Data
Bibliographic record
Abstract
In 2004, the value of U.S. merchandise trade with Canada and Mexico rose 13 percent over the previous year's total to an all-time high of $712 billion. Using chained 2000 dollars to adjust for inflation, this trade grew by 8 percent from 2003 to 2004 (table 1 and box 1). Once again, U.S.-North American trade amounted to nearly one-third of total U.S.-international merchandise trade, which reached an historic high of $2.3 trillion in 2004. This growth in U.S. merchandise trade with Canada and Mexico highlights the growing demands on infrastructure and transportation facilities at key land gateways and the expansion of major transportation corridors traversing our northern and southern borders. In the 10 years following the 1994 inception of the North American Free Trade Agreement, growth in the value of U.S.-NAFTA trade has more than doubled in both current dollars and inflation-adjusted terms.\n
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.025 |
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".