Party Politics, Social Movements, and Local Democracy: Institutional Choices 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
"In the Brazilian Amazon, central government and international donors have chosen to empower civil society to carry out environment and development projects, while neglecting democratically elected municipal governments. This article explores the rationale behind these choices, as well as their impacts on democratic decentralization. The article shows that the central government distrusts local governments because they can be easily captured by opposition economic elites. Further, central bureaucrats can hold civil-society organizations accountable to them and by doing so they retain their prerogatives while extending their territorial coverage. In the development and conservation areas, central bureaucrats and NGO leaders share a common organizational/cultural identity that facilitates collaboration. Further, social movements, grass-roots organizations, and local NGOs are closely associated with the ruling party (PT). Financial support comes in exchange for political support. Although in the past this close relationship between civil society organizations and the PT helped strengthen democracy in Brazil, the current government-NGO alliance runs in the opposite direction by reinforcing centralization and fomenting neo-corporatist/clientelist practices."
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 | 0.001 |
| 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