Green Basic Income: Evaluating the Bolsa Verde Project in the Brazilian Amazon
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 We analyze the Bolsa Verde Program, arguing that it likely was the world’s first largescale institution of a Green Basic Income Program. As such, the initiative presents a unique opportunity to evaluate the potential environmental uses and implications of Basic Income initiatives. Our study relies on a socially-embedded analysis of the program as it functioned in the context of the Brazilian Amazon. This involves analysis of qualitative data from former program beneficiaries, community leaders, program evaluators, and managers. This research suggests that the program operated socially as a de facto Green Basic Income program, despite being designed as a hybrid Payment for Environmental Services initiative. Our analysis suggests that Bolsa Verde was successful in reducing both deforestation and poverty, and these successes were achieved without undermining collective community institutions that could have positive anti-poverty and environmental protection benefits of their own.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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