New Horizon in Korea-Canada Relations in Emerging Asia-Pacific Community
Bibliographic record
Abstract
Since the late 1990's in Korea, Canada has quickly become the most popular country to travel to, to be educated and immigrate, in what can be called a “boom of Canada”. This sudden interest in Canada has elevated the interest of both countries to better understand each other as the two come together in the emerging Asia-Pacific community. Canada is indeed as much a Pacific nation as an Atlantic nation. However, Canada has been slower to respond to the increasing geopolitical and economic significance of the pacific region until quite recently Canadians were awakened to the coming of “Pacific Century” and the need to strengthen Canada's relationships with Asian markets has become crucial to future economic security. At the same time North American countries have been Asia's largest export markets and the instrumental “spring board” for East Asia NICs, including Korea. I will present in this paper how to facilitate the further development of links between Canada and Korea. They must strengthened and of mutual benefit with increased cooperation of extensive cultural, economical and human exchanges.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".