Adapting forest certification to climate change
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
In the context of climate change, the forest sector must consider the extent to which sustainable forest management enables or constrains climate change adaptation and mitigation; it may be that existing values and principles, policies and decision‐making processes, and institutions are no longer appropriate. Forest certification has emerged as an important arena for setting international and regional standards for forest management, but it is unclear to what extent it supports or helps develop adaptive capacity for climate change in the forest sector. This paper, therefore, combines a review of the literature on forests and climate adaptation with a systematic assessment of the Forest Stewardship Council Criteria and Indicators (in detail) and other forest and carbon certification schemes (in brief) to shed light on the role of certification standards in mediating forest and climate adaptation strategies. WIREs Clim Change 2015, 6:189–201. doi: 10.1002/wcc.329 This article is categorized under: Climate, Ecology, and Conservation > Conservation Strategies Vulnerability and Adaptation to Climate Change > Institutions for Adaptation Policy and Governance > Multilevel and Transnational Climate Change Governance
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.036 |
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