Trade Rout: As Trade Tensions Built Between U.S. And Canada, This American Border Town Felt The Freeze
Bibliographic record
Abstract
A close business relationship with Canada has allowed Plattsburgh to thrive as a manufacturing town. Over 100 Quebec-based companies operate there, and 15 percent of the workforce in the county gets its paycheck from a Canadian company. Even more impressive, this comes at a time when manufacturing jobs are declining nationwide. While factories are shutting down across the rust belt, in Plattsburgh they are opening up. There is just one problem. All of this was made possible by the North American Free Trade Agreement, or NAFTA. And just this April, the Trump administration abruptly threatened to pull out of the agreement, leveraging tariffs on Canadian goods and making business between the two countries much more costly. So far, companies like Novabus have absorbed whatever price increases have come their way, and the USMCA has provided some relief, but the situation is far from over. The protracted and ongoing trade tensions, not to mention the bitter rhetoric between the two countries, has caused significant harm to the cross-border relationship, and the future of Plattsburgh’s economy is still uncertain.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".