Extracting Profits: State Regulation and the Canadian Ombudsperson for Responsible Enterprise
Bibliographic record
Abstract
Abstract Taking the Canadian Ombudsperson for Responsible Enterprise (CORE) as its focus, this paper critically examines the Canadian government’s efforts to regulate the extractive industry. Using insight from ideology theory and critical discourse analysis, and drawing empirically from Canadian Parliamentary debates, official government and NGO reports, and various news items regarding the development of the CORE, we document how dominant voices prioritized the economy, downplayed the systemic violence of the industry, and redirected blame to “underdeveloped” countries, on route to a regulatory framework that is voluntary and which fails to address the underlying causes of corporate harm and violence. While the CORE represents a “logical” state response to corporate crime, we nevertheless emphasize the importance of ongoing debates about its role in combating corporate impunity. This not only reinforces the idea that (capitalist) dominance is never absolute but signals the ever-present nature of resistance and possibility for change.
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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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.031 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".