Determinants, Boundaries, and Patterns of Canadian Mining Investments in Latin America (1995–2015)
Why this work is in the frame
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Bibliographic record
Abstract
As part of the commodities boom that Latin America enjoyed in the first decade of the twenty‐first century, Canadian investments in metal mining expanded there at an extraordinary pace, determined by a larger process of industrial consolidation and long‐term Canadian government policies to support the internationalization of its industry. Their success in Latin America has now induced some observers to believe that Canada is a dominant actor in that region's mining sector, but the specialization of Canadian firms in precious metals, gold and silver, has set up clear boundaries to their regional relevance, rendering Canadian capital necessary but not an essential actor in the Latin American mining boom. In fact, such pattern of specialization has turned the expansion of Canadian mining capital into a significant exposure to Latin American politics that Ottawa's government and diplomacy can affect only marginally.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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