Evaluation of International Competitiveness of Fiberboard Industry in China from 1961 to 2004
Bibliographic record
Abstract
The paper makes comparisons of the wood based panel industry between China and ten other advanced countries such as the United States,Canada,Germany,et al.With the fiberboard statistical data of FAOSTAT from 1961 to 2004,we study Chinese fiberboard industry considering the production and trade status,and compare the results with that of advanced countries.We then evaluate Chinese fiberboard competitiveness quantitatively and make further international comparisons in the following four aspects: the international market share,the trade competition index,RCA index and GL index.The results show that on the one hand,although the Chinese fiberboard output index ranks first in the world in 2004,the international competitiveness of the industry is not strong enough and is lagging far behind that of Germany,Canada and other advanced countries.On the other hand,the international competitiveness displays the strengthening tendency.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".