LATEST TRENDS IN THE EVOLUTION OF PEFC CERTIFICATION
Bibliographic record
Abstract
Worldwide, PEFCTM represents the most spread certification scheme in forestry. The goal of this paper was to highlight the evolution of the number of Chain of Custody (CoC) certificates and the PEFCTM certified area worldwide between 2013 and 2017, by analyzing the public data provided by the official website. Currently, the total PEFCTM certified forest area accounts for approximately 313 million hectares, out of which 55% are located in North America. As for the largest forest areas certified by PEFCTM the top three places are held by Canada, The United States of America and Australia. At the end of 2017, in Europe the PEFCTM scheme had certified forests from a total number of twenty four countries, with the highest areas being shared by Finland, Russian Federation and Sweden. According to the most recent statistics, around 82% of the total CoC certificates issued worldwide were recorded in Europe, France, Germany and United Kingdom being the countries with the highest shares. Currently, in Romania only twenty three CoC certificates were issued and no forest area was yet certified.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".