REDD+ Contribution to Well-Being and Income Is Marginal: The Perspective of Local Stakeholders
Why this work is in the frame
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Bibliographic record
Abstract
In addition to being a global strategy for reducing greenhouse gas emissions from tropical deforestation, Reducing Emission from Deforestation and Degradation (REDD+) intends to protect and improve the well-being and income of local stakeholders. The intention is to provide livelihood support in exchange for local stakeholder involvement in protecting forests. Eleven years after the launch of REDD+ at COP 11 in Montreal, the degree of success in meeting well-being and income goals is examined in six countries (Brazil, Peru, Cameroon, Tanzania, Indonesia, Vietnam) at 22 initiatives, 149 villages, and approximately 4000 households through a counter-factual approach. Half the villages and households are inside and half are outside the sphere of REDD+. Measurements are made at two points in time (2010–2012, and 2013–2014). This paper focuses on measurement of the subjective perception of local stakeholders. The study finds that REDD+ has not contributed significantly to perceived well-being and income sufficiency, in spite of the fact that most households have not only engaged with REDD+ interventions, but view them favorably. REDD+’s limited achievement to date is due to unavailability of funding, among other obstacles. Recommendations are made for enhanced attention to well-being and income sufficiency in the event that REDD+ eventually takes off.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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