Regulating in the Public Interest? Canadian energy regulation as an institutional fix for sovereign legitimacy
Bibliographic record
Abstract
Perhaps the most visible and pressing pipeline conflict in Canadian history, the proposed Trans Mountain Pipeline expansion has yet to see shovels break ground as the project is bound up in a web of legal challenges and political controversy.At the centre of the debate is the National Energy Board (NEB)-Canada's energy regulator-responsible for regulating interjurisdictional pipelines.Recently, the NEB's legitimacy has been called into question amid criticisms of being an untrustworthy, industry-captured regulator.In this thesis, I argue that the NEB operates as an institutional fix for state sovereignty, primarily through its mandate to determine if a proposed project is in the "public" or "national interest".By aggregating benefits and localizing consequences, the NEB's "public interest" mandate has become a means of circumventing the thorny politics of deliberative consultation-especially regarding Indigenous jurisdiction-to capture legitimacy and ensure projects proceed.
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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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.020 | 0.029 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".