Competitiveness of wood pulp in the international market
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
Currently, Brazil is the third largest exporter of wood pulp. The objective of present study is to analyze the market competition in the international market of wood pulp in terms of concentration and inequality during the period from 2002 to 2014. Monetary values of exports were collected on the UNCONTRADE database and deflated afterwards, considering 2012 as the base year. The Hirschman-Herfindahl Index (HHI) was used for measuring market concentration, while inequality was measured by the Gini Index (G). The world market for pulp showed a low concentration with HHI varying from 0.0918 to 0.1327, indicating an increasing participation of countries in the studied market. However, results showed that United States, Canada, Brazil, Sweden and Chile dominate the market as the Gini index number varied from 0.8874 to 0.9349.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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