Governmentality and the new spirit of exploitation: the politics of legitimacy and resistance to Canadian mining in Guatemala and Honduras
Bibliographic record
Abstract
The activities of Canadian mining companies operating abroad are often carried out under the banner of bringing badly-needed development and democracy to impoverished regions of the globe. Many of these projects, however, can often lead to increased poverty, conflict and insecurity in communities near the mines. There have also been egregious violations of human rights and grave environmental damages documented at Canadian mines worldwide. As a result, numerous countries in the Americas and beyond have seen burgeoning grassroots resistance movements rejecting the presence of Canadian extractive projects on their territory — movements that are almost invariably rejected as illegitimate by industry and Canadian government representatives, and almost always repressed by host country governments. Using critical discourse analysis and Foucault’s work on governmentality and biopower, this dissertation argues that discourses of democracy and development are increasingly being used to advance projects that are often fundamentally anti-democratic, destructive and exploitative, and that this represents a critical component of a nascent strategy by which neoliberal regimes of capital accumulation are advanced and legitimized today. Through discursive construction of Canadian mining regimes as purveyors of collective “development,” and strategic delegitimization of critics of Canadian mining activities as irrational, radical, dangerous threats to the betterment of society at large, support for the mine is galvanized and conflict surrounding the mine intensifies. This argument is grounded in exploration of three case studies: two open-pit gold/silver mines owned/operated by Goldcorp — their Honduran San Martín mine and their Guatemalan Marlin mine — and the politics of land claims near a non-functioning Guatemalan nickel mine previously owned by Canada’s Skye Resources and HudBay Minerals. Further evidence for this argument is offered in two accompanying documentary films that I have produced, exploring these particular case studies. In demonstrating how foot soldiers are being enlisted into an army that defends the interests of Canadian mining companies and the neoliberal economic order that they proliferate and prosper from — despite the fact that local benefits may be negligible and the harms incurred can be severe — this dissertation seeks to shed light upon a broader dynamic of resistance/counter-resistance playing out globally in areas beyond resource extraction.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.050 | 0.040 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".