Do current forest carbon standards include adequate requirements to ensure indigenous peoples' rights in REDD projects?
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 Although REDD projects can generate benefits for forest communities, they can also create negative social impacts, undermining the rights of indigenous peoples (IP). There is a need to analyze whether current forest carbon standards include adequate requirements to ensure IP's rights in REDD projects. This paper summaries the negative social impacts that REDD projects can cause in forest indigenous communities and establishes an evaluation framework of policies and measures needed to avoid or mitigate those impacts. This framework is used to assess how current carbon standards for REDD projects address social issues and whether they adequately protect IP's rights. The results of this assessment show that carbon standards, by and large, do not adequately include social standards to protect IP's rights. For example, while many standards call for clarification of tenure, few actually include recognition of traditional land and resources right. In addition, only half of the standards analyzed require monitoring of social impacts throughout the project's implementation, or require free prior and informed consent of indigenous peoples. Therefore, forest carbon standards for REDD projects should incorporate social principles in their methodologies or should be implemented jointly with social forest carbon standards.
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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 | 0.001 | 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 | 0.001 |
| 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