The importance of climate change when considering the role of forests in the alleviation of poverty
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 Forests could play a major role in the alleviation of poverty in many different parts of the world. However, forests are dynamic, and their rate of change is accelerating as a result of anthropogenic activities. Climate change, for example, will alter the nature of many protection forests in mountainous areas, exposing the inhabitants to increased risk from natural hazards. It will also affect the viability of plantation forests established in drier areas to combat desertification. Many forests are showing increased productivity, although the causes remain unclear. Sea-level change will destabilize coastal forests, particularly mangroves, reducing their effectiveness in coastal protection. Air pollution has already destabilized many forests, and is likely to be an increasing problem in the forests surrounding urban areas in developing countries. Many impacts remain uncertain, and there remains a great need to integrate the biophysical knowledge that currently exists with socioeconomic information associated with the impact on forest-dependent communities.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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