The state of the forest: reporting and communicating the state of forests by Montreal Process countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
SUMMARY Substantial progress has been made in developing criteria and indicators under the Montreal Process, but difficulties have been encountered when reporting at a country level. Japan, Korea, New Zealand, Russia and the United States follow the criteria and indicators without change, while Australia and Canada use modified versions. Three countries (Australia, Canada and Korea) report on a reduced number of indicators. Extensive consultation with local-level governments and communities took place in Australia and the USA, resulting in increased harmonisation with local-level reporting. Reports have been produced for two main purposes: to fulfil the reporting obligations to the Montreal Process and to communicate the status of forests to a country's citizens, thereby engaging them in the process of sustainable forest management. This paper examines how well these two stated purposes have been achieved. Our research suggests that despite many seemingly successful initiatives, there is considerable room for improvement. Current reporting practices, if not corrected, will create difficulties in communicating progress in sustainable forest management amongst countries.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it