Canada-Korea Free Trade: A Watershed in Economic Integration with Asia
Bibliographic record
Abstract
If there is one thing to question about the recently signed free-trade deal between Canada and South Korea, it is this: What took us so long? South Korea is a long-time trading partner with Canada, with a democratic political system and a rapidly expanding free-market economy offering strong protections for commercial rights. The country is an excellent place for Canada to begin a deeper economic integration with the larger Asian market. The details of the deal itself are certainly worth celebrating. Certainly Canadian consumers will save money on Korean-made products, such as cars. But Canadian companies exporting to South Korea have also, in recent years, found themselves increasingly unable to compete with exporters from the E.U. and U.S., who have already established free-trade deals with Seoul. Since the Americans signed their deal, U.S. exports to South Korea have soared, while the value of Canada’s exports to the same market have dropped by 30 per cent, as Canadians were left facing tariffs as high as 269 per cent. The Canada-Korea Free Trade Agreement levels that playing field for Canada, something that will especially benefit firms exporting agricultural products (tariffs on Canadian beef, for example, were a punitive 72 per cent) and professional services. Even automakers may find that whatever increased competition comes from cheaper Korean car imports are offset by the opportunity to more easily sell Canadian-made vehicles in the much-larger Asian marketplace. There is a wealth of economic opportunity waiting in that burgeoning market; this free-trade deal is a pivotal first step for Canada to start fully capitalizing on it.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.010 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 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".