WFSE Policy Brief: Making Boreal Forests Work for People and Nature
Bibliographic record
Abstract
The forests of the boreal region have supported the livelihoods and well-being of local people for thousands of years. People have lived in wooden houses, used wood for heating and energy and un- counted other purposes, picked berries and hunted for furs and meat. Industrial forestry has provided work and income and through trade the economic impor- tance of boreal forests now extends well beyond the region. In today’s national and international policies and public attitudes there is greater than ever empha- sis on nature protection and the promotion of biodi- versity, highlighting the non-wood ecosystem values and services provided by the boreal forests. Yet wood products can continue to be an inherent part of the same values and services. This brief highlights some of the key issues in securing the continued function of the boreal forests to work for people and nature. Future uncertainties certainly increase the demands for their innovative use and sustainable management. Preparation of this brief was a joint effort of IUFRO’s Special Project on World Forests, Society and Environment (IUFRO-WFSE), the European Forest Institute (EFI), the Finnish Forest Research Institute (Metla), the Future Forests Research Program (FF), the Swedish Agricultural University (SLU), University of Eastern Finland (UEF) and Canadian and American collaborators. This publication is a part of a series of policy briefs produced by IUFRO-WFSE on major regions of the world (on Europe in 2005, on Latin America and Sub- Saharan Africa in 2009 and on Asia in 2010). Several scientists in the boreal region reviewed the draft manuscript. We sincerely thank all those who have contributed to this publication. Support for this activity was provided by the Ministry for Foreign Affairs of Finland. Heidi Vanhanen Ragnar Jonsson Yuri Gerasimov Olga Krankina Christian Messier
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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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.039 | 0.014 |
| Insufficient payload (model declined to judge) | 0.028 | 0.007 |
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".