IUFRO News 2012/8: High Demand for Forest Landscape Restoration in North Korea
Bibliographic record
Abstract
Read reports from meetings on forest landscape restoration, alien invasive species and boreal mixedwoods, and get informed about events such as the 3rd IUFRO Latin American Congress 2013. IUFRO was represented in an international group of 14 specialists who attended a Seminar on Forest Landscape Restoration (FLR) in Pyongyang, DPR Korea, in March. From the discussions during the seminar and field trip it became clear that the Korean hosts had great interest in establishing collaboration in the field of FLR. Further meeting reports in this issue inform about conferences in boreal mixedwoods in Canada and about alien invasive species. The announcement section includes positions, proceedings, grants etc. In any case, mark your calendars for the 3rd IUFRO Latin American Congress in June 2013 in San José, Costa Rica, and the 24th IUFRO World Congress in October 2014 in Salt Lake City, USA. And take part in shaping IUFRO's future strategy by filling in the IUFRO survey!
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.081 | 0.012 |
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".