Green Energy Politics in Canada: Comparing Electricity Policies in BC and Ontario
Bibliographic record
Abstract
As part of efforts to reduce greenhouse gas emissions and promote economic development, many jurisdictions are reforming their electricity sectors with new policies designed to promote clean energy In Canada, the two most active jurisdictions in this regard are Ontario and British Columbia. Both provinces embarked on aggressive sustainable energy (especially electricity) policy initiatives in the 2000s that have become intensely politicized. This paper will compare these two provincial policies to develop insights into Canadian provincial politics on significant environmental and nature resource issues and energy policy dynamics more generally. For each province, we briefly describe the electricity system and how it is governed in terms of relations between public and private operators, the role of regulatory commissions and their relationship to the parliamentary system in place. We then describe and compare the policy shifts during the 2000s and early 2010s, focusing on efforts to promote renewable electricity and the policy instruments used to do so. We also address the dynamics of the political backlash that occurred in both provinces, and how the party in power responded to those criticisms. The main purpose of this paper is to reveal the similarities and differences in the two provinces’ energy policies, but we will also offer some explanations for those patterns. The institutional structure of energy governance in Canada gives cabinet governments a significant amount of latitude to enact and implement ambitious policies. The particular manifestation of governance structures, policy objectives and policy instruments will vary depending on factors specific to the provincial context. The increased costs of low-carbon energy policies are proving to be a significant political issue, but the extent to which they will frustrate the achievement of larger policy objectives is not yet clear. In both provinces, highly ambitious clean energy policies have experienced considerable implementation challenges and political resistance. Despite the adjustments that have been made to address these difficulties, the fundamentals of the policy shifts are still in place. These cases reveal that when motivated, leader-centered parliamentary governments can create meaningful policy change to promote energy sustainability.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 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".