Bibliographic record
Abstract
The last two decades have witnessed a dramatic expansion and intensification of mineral resource exploitation and development across the global south, especially in Latin America. This shift has brought mining more visibly into global public debates and spurred a great deal of controversy and conflict. This volume assembles new scholarship that provides critical perspectives on these issues. The book marshals original, empirical work from leading social scientists in a variety of disciplines to address a range of questions about the practices of mining companies on the ground, the impacts of mining on host communities, and the responses to mining from communities, civil society and states. The book further explores the global and international causes, consequences and innovations of this new era of mining activity in Latin America. Key issues include the role of Canadian mining companies and their investment in the region, and, to a lesser extent, the role of Chinese mining capital. Several chapters take a regional perspective, while others are based on empirical data from specific countries including Bolivia, Brazil, El Salvador, Guatemala and Peru.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.033 | 0.026 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.663 | 0.012 |
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; both teacher heads agree on what is shown here.
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".