Subnational Responses to Fracking in Canada: Explaining Saskatchewan's “Wild West” Regulatory Approach
Bibliographic record
Abstract
Abstract This article assesses the regulatory response to fracking by Saskatchewan, Canada's second largest oil‐producing province. Public officials and industry representatives claim fracking regulations are “comprehensive” and “robust”; however, there has been no comparative assessment of this claim. To address this gap, we outline the dominant regulatory pathways of U.S. states and Canadian provinces, ranging from applying existing regulations with minimal revisions, to enacting broader revisions or bans. We account for this variation using a framework from Davis ( ) emphasizing governments’ dependence on the oil sector, the level of support for fracking among elected officials and policy makers, and the influence of key “constituencies.” The article then traces the growth and impact of fracking in Saskatchewan and analyzes new trends in the province's regulation of fracking. Given the province's application of existing regulations with minimal revisions and active weakening of enforcement, we identify Saskatchewan as taking Rabe and Borick's ( ) “conventional” regulatory approach, typical of Davis's “energy dominant” states.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".