Building the Forest-Climate Bandwagon: REDD+ and the Logic of Problem Amelioration
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
For those championing an international institutional solution to climate change, the forest-climate linkage through reduced emissions from deforestation and forest degradation and forest enhancement (REDD+) may be one of the most promising strategic linkages to date. Following a series of forest-focused interventions that did not live up to their promise, global forest politics have now, through REDD+ deliberations, been institutionally subsumed into the climate regime. We argue that to realize its potential, REDD+ policy mechanisms must be careful to move away from the commodification of forest stewardship that reinforces short-term strategic positions of powerful producing and consuming interests whose current activities are the culprits of global forest decline. To achieve such an outcome, we argue that institutions must develop on the basis of a “logic of problem amelioration” in which the rationale for achieving clearly defined environmental and social goals is rendered transparent. This could be achieved through the formalization of a “dual effectiveness test” in which interventions are evaluated for their potential to simultaneously ameliorate both global climate change and forest degradation.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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