People and Place: Siting Wind and Solar Plants in Brazil and South Africa
Bibliographic record
Abstract
All infrastructure projects need to be placed in particular locations, and host communities typically have local populations, economies, and ecosystems that will be affected. The literature is divided, with energy and economic scholars tending to emphasize local benefits while geographers, anthropologists, and environmental scholars tend to highlight local costs. This chapter examines how local communities in Brazil and South Africa responded to new wind and solar power installations, asking not just about their preferences but also how (and if) they were able to mobilize resources and respond. Environmental impact assessment and land-use policies set a broad framework for these questions. New research conducted for the book finds that communities resisted wind power plants in about a quarter of the 77 Brazilian cities that hosted them, most in Brazil’s poor Northeastern region, especially in an early generation of poorly chosen coastal sites. There was little community protest against solar power in Brazil. South Africa saw little community protest against wind or solar power installations, though national organization BirdLife South Africa did strongly influence siting decisions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".