Agricultural Trade between China and Canada: Structural Features,Competitive Advantages and Trade Complementarity
Bibliographic record
Abstract
This paper describes the growth and structural characteristics of agricultural trade between China and Canada using the concentration ratio(CR), grubel-lloyd index(G-L), trade competitive index(TC), trade complementarily index(TCI), etc. Also analyzed is the change in the competitive advantages and the trade complementarity between agricultural products of China and those of Canada. The results show that:(1) China's imports from Canada account for a main proportion in the bilateral agricultural trade between China and Canada;(2) the fact that China mainly imports land-intensive products such as grain and oilseed from Canada and exports to it labor-intensive products such as animal products and horticultural products, characterized by high trade concentration and inter-industry trade, reflects the characteristics of the two countries' agricultural resource endowments;(3) there is a huge potential for the development of China's agricultural products trade with Canada given the change in the competitive advantages of agricultural products and the increasing trade complementarity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".