The Politics of Transnational Advocacy Against Chinese, Indian, and Brazilian Extractive Projects in the Global South
Bibliographic record
Abstract
Activists in the global South have been navigating two powerful trends since the mid-1990s: intensifying state repression and rising investment in extractive projects from the emerging economies of Brazil, Russia, India, China, and South Africa (BRICS). In this context, this article explores the underlying forces determining the formation, endurance, and power of BRICS-South transnational advocacy networks (TANs) opposed to BRICS-based corporate extraction in the global South. By analyzing activism against Chinese, Indian, and Brazilian extractive projects in Ecuador, Ethiopia, and Mozambique, respectively, the research reveals the critical importance of domestic politics and civil society characteristics in both the BRICS and host states for shaping BRICS-South TANs, including which groups assume leadership, the extent of cross-national cooperation, and the role of nonprofits headquartered in the global North. The findings uncover core reasons for the variable resiliency and capacity of BRICS-South TANs, opening up new avenues of research and offering valuable insights for activists and policymakers.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".