Using Strategic Environmental Assessments to Guide Oil and Gas Exploration Decisions in the Beaufort Sea: Lessons Learned from Atlantic Canada
Why this work is in the frame
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Bibliographic record
Abstract
The 21st century has seen a renewed interest in developing Canadian Arctic oil and gas reserves. Historically, hydrocarbon development efforts focused on land or shallow water hydrocarbon potential. Since 2008 the industry has shifted its attention to the deepwater areas of the Canadian Beaufort Sea — a region that to date has experienced limited exploration and no development. In the wake of the huge Macondo oil spill in the Gulf of Mexico, Canada's National Energy Board (NEB) initiated a public Review of Offshore Drilling in the Canadian Arctic to ensure the regulatory system was prepared to handle the unique challenges of Arctic drilling. There was no similar examination of the adequacy and appropriateness of Canada's Arctic oil and gas rights issuance process. In this paper we argue that a key weakness in the current procedure is the failure of the government to apply state of the art Strategic Environmental Assessments (SEAs) as part of deciding where and when to open new areas to potential oil and gas drilling activities.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it