Evaluating the regulatory review and approval process for major projects: A case study of the Mackenzie Gas Project
Bibliographic record
Abstract
The proposed Mackenzie Gas Project (MGP) involves extraction and transportation of natural gas and natural gas liquids from the Mackenzie Delta to northwestern Alberta, a distance of approximately 1,200 kilometres. This study evaluates the regulatory review and approval process for the MGP based on a set of 13 best practice principles. The evaluative framework in this report is drawn from best practice literature for environmental assessment developed by a number of Canadian and international authors, and is tailored to examine the regulatory review and approval process for northern projects. Results indicate that two of the best practice principles were fully met, three were largely met, seven were partially met and one was not met. Strengths of the process include methods used to clarify roles and responsibilities and the framework used to assess cumulative effects. Deficiencies include the lack of transparent decisions.
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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 | 0.149 | 0.159 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| 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".