Hegemony in Guyana: REDD-plus and State Control over Indigenous Peoples and Resources
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
Abstract In this chapter, Janette Bulkan offers a social scientific analysis of the controversies surrounding Guyana’s efforts to reduce forest carbon emissions. In 2009, the governments of Norway and Guyana signed the REDD-plus (Reducing Emissions from Deforestation and forest Degradation) agreement. On paper, REDD presented a unique opportunity for Guyana to restart stalled processes like the national development strategy and national land use planning in partnership with indigenous and other forest-dependent people and coastal constituencies. In practice, REDD procedures and projects, argues Bulkan, presented the government with funds to reward loyal subjects and buy votes at elections. The chapter goes on to consider the role of the indigenous Amerindians in the Norway-Guyana agreement at both procedural and substantive levels.
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 | 0.001 | 0.001 |
| 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