Mining sustainably: Opportunities for Canada and Brazil
Bibliographic record
Abstract
Complexity is the by‐word for the interconnected social, economic, environmental, and political forces that are shaping the mineral investment and trade environment today. In the past two decades, South American nations have aggressively pursued foreign investment dollars, free trade agreements, and embarked on a course of privatization of many state‐owned companies. Brazil, which long followed a policy of isolationism, also engaged in the global trend toward trade liberalization in the mid‐1990s. These developments, along with many shared characteristics, have led to a number of cooperative ventures between two countries that have a considerable stake in the mining sector; Canada and Brazil. This paper examines the developing relationship between Canada and Brazil, and highlights many of the challenges and some of the responses that characterize the changing face of the global mining regime in an era of growing socio‐environmental concerns and pressures for strategic economic alliances.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".