The Anti-subsidy Disputes on Timber Trade between the USA and Canada and their Impact and Enlightenment for China
Bibliographic record
Abstract
On the basis of introducing the anti-subsidy disputes on certain softwood timber product trade between the USA and Canada,the paper firstly analyses the key question and main reasons of the disputes,and then introduces the solution and new issues.Finally,it discusses the impact and enlightenment for China.The paper has drawn the following conclusions:①the course of the disputes and its countermeasure are very complex and difficult;②the key issues are whether Canada having implemented the subsidy on certain softwood timber product and how to distinguish and calculate the benefits;③the disputes are apparently derived from the different mode of the timber cutting,and deeply result from conflicts of forest industry interest between the USA and Canada;④the solution is in the form of a comprehensive agreement(Softwood Lumber Agreement) between the USA and Canada,dated 12 September 2006,and it possibly faces new trouble;⑤the disputes make Canada to accelerate exploitation of timber product market in China,and China should pay attention to the anti-subsidy disputes on trade as well.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".