Empirical Study on Trade Performance in the China's Pulp and Paper Industry :1996—2004
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International trade is of increasing importance in China's pulp and paper industry.Based on the concept of comparative advantage,two indicators,Revealed Comparative Advantage and Revealed Competitiveness,were introduced to measure trade performance in the China pulp and paper industry from 1996 to 2004.The results show that China had comparative and competitive disadvantage in the pulp and paper industry during the study period,and lagged far behind the advanced pulp and paper countries,such as Finland,Canada,etc.Under comprehensive consideration of resources,environment,economics and development,some policy suggestions are strongly advised that the China's pulp and paper industry should turn the comparative and competitive disadvantage to advantage,and participate in global competition more actively.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it