Imperialism and Resistance: Canadian mining companies in Latin America
Bibliographic record
Abstract
David Harvey's concept of accumulation by dispossession is a useful framework for understanding the predatory activities of Canadian mining companies in Latin America. Capitalist imperialism is rooted in the logic of a socioeconomic system that is driven by the competitive pursuit of profit based on the exploitation of labour, and which is prone to over-accumulation. Capital, backed by state power, pursues a spatial fix to resolve the systematic crisis of over-accumulation. The creation of new spaces of accumulation is not an innocuous process; it inevitably involves the forceful and violent reorganisation of peoples' lives as they are subordinated to the whims of capital. Strategies of accumulation by dispossession by capital therefore commonly spawn popular resistance from the affected communities. The Canadian mining industry is the largest in the world, and much of its outward investment targets Latin America. The Canadian company share of the larger company exploration market in Latin America (and the Caribbean) has grown steadily since the early 1990s, up to 35% by 2004, the largest by far among all its competitors, with seven Canadian companies among the top 20 mineral exploration investors in the region from 1989 to 2001. This paper charts these trends of Canadian mining expansion in Latin America and then focuses on the community, environmental and worker resistance it is generating in the cases of Chile and Colombia.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".