Responding to climate change in forest management: two decades of recommendations
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
Recommendations for responding to climate change in forest management have proliferated over the past two decades. A systematic review of the scientific literature revealed that the majority of such recommendations (86%) focused primarily on maintaining existing ecological patterns and processes via either passive or active adaptation approaches, while 14% focused on transformation to new system configurations through active interventions. Most recommendations (69%) were general, non‐specific principles and derived from research conducted in North America or Europe. These findings highlight the need for (1) more actionable recommendations and diversification in geographic inquiry, specifically in Asia, Africa, Oceania, Latin America, and the Caribbean; (2) increased contributions from social science and mixed social–ecological inquiry; and (3) governance processes that enhance dialogue among stakeholders to better anticipate and navigate the trade‐offs implied by potential future forests in the decades to come.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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