Exporting Canada's extractives approach to development: The nexus of law, violence and development in the case of Tahoe Resources Inc. in Guatemala
Bibliographic record
Abstract
Drawing on theories of critical legal geography and critical development studies, this thesis examines how law shapes processes of repression and resistance in conflicts over resource extraction. Through the lens of Canadian mining in Guatemala and the specific case of Tahoe Resources’ El Escobal Mine, I reflect on how law impacts the production, control, and remaking of space and place. A discourse analysis of documents obtained via Access to Information and Privacy (ATIP) requests, as well as an analysis of fieldwork notes and semistructured interviews conducted in Guatemala and Canada between May and September 2018, demonstrate that a lack of government oversight and accountability reinforces a status quo of impunity for human rights abuses related to Canada’s extractive sector. While home state litigation may enforce a measure of accountability for parent companies in their operations abroad, the ideological structures enabling mining corporations to operate with ease across borders remain intact.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.031 | 0.024 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".