Implementation of Timber Legality Verification System for Forest Processed Wood Products Based on Ecological Justice
Bibliographic record
Abstract
This study aims to analyze the application of the Timber Legality Verification System (SVLK) for forest processed wood products, namely furniture in Jepara Regency. SVLK is enforced to maintain harmony between environmental ecosystems and business ecosystems, this is in accordance with the concept of environmental justice which harmonizes environmental, economic and social in Jepara Regency. The research method used is normative-empirical (applied law research). The results showed that the importance of implementing SVLK on furniture in the Jepara Regency can increase the selling value in the global market and guarantee its legality. SVLK is regulated in the Regulation of the Minister of Forestry of the Republic of Indonesia Number: P.38/Menhut-II/2009 concerning Standards and Guidelines for Assessment of Performance of Sustainable Production Forest Management and Verification of Timber Legality in License Holders or in Private Forests. The implementation of SVLK in Jepara Regency for processed forest timber has not been optimal, because many IKMs do not yet have SLKs due to high costs and complicated procedures
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".