The impact of timber legality regulations on business practices in Vietnam
Bibliographic record
Abstract
Reports that nearly half of Vietnam's roundwood imports come from illegal sources has drawn criticism from major consumer countries who have recently implemented timber legality regulations. These regulations, which include the U.S. Lacey Act and EU Timber Regulation, restrict the import of illegally harvested wood and are expected to have a direct impact on major wood-processing countries such as Vietnam and China. Surveys were conducted at trade shows in Ho Chi Minh City to assess how these regulations influence firms’ use of chain-of-custody certification, and impact their material sourcing and export market decisions. Vietnamese firms which sell to the United States and the European Union had higher awareness of timber legality regulations and were more likely to take steps to eliminate illegal products from their supply chain by sourcing raw materials from the U.S. and Canada or by increasing their use of certified wood. However, smaller firms were generally unaware of timber legality regulations and were much less likely to use certified products. Our findings suggest that the Vietnamese market has become segmented, with smaller firms using materials which are at a higher risk of containing illegal wood, and exporting to less regulated markets, such as China.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".