Certification of forests and wood products in Serbia in the context of new European union legislations: Current situation, problems and challenges
Bibliographic record
Abstract
The paper presents research results of the current situation in the area of certification of forests and wood products in Serbia in the context of new European Union legislation referring to the placement of wood and wood products on this market. The objective of the research was to observe the situation, phases which Serbia implemented in the process of forest and wood products certification until now, as well as the problems and challenges the companies in this process face. Based on research results, future development of the market of certified wood products in Serbia was assessed and the proposal of measures which should be realized in order for Serbia to become a country whose companies will be ready for the moment when provisions and measures of the new EU legislation become effective was given. The selection of the abovementioned objective was conditioned by the fact that from January 1st, 2013 new legislation takes effect, with significantly stricter terms for the placement of wood and wood products from other countries on this market. One of the conditions which will have to be fulfilled by the companies wishing to export their products on this market refers to proving their origin. Since the EU is the most significant market for wood products exported from Serbia, fulfillment of the stated and other terms from the new EU legislation is of great importance to Serbian companies. Until the beginning of September 2010, only 387,000 ha were certified, namely 17.2% of the total area under forests. In the same period, only 33 wood processing companies in Serbia possessed CoC certificates for their products. Such a small number of companies possessing certificates for their wood products compared to competitive neighboring countries can represent a serious limitation in achieving their satisfactory competitiveness on the EU market in the following period.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".