Why path dependence leads to a fossilized Alberta: regionalism and the climate transition in Canada
Bibliographic record
Abstract
Canada is the world’s fourth largest producer of oil and fifth largest producer of natural gas. Yet, the country faces a ‘twin’ challenge in tackling the climate crisis. On the one hand, Canada’s federal climate goals state that it must achieve net-zero carbon emissions by 2050. On the other hand, regionalism stronghold in fossil-producing provinces lead to difficult trade-offs between an ambitious climate transition and reluctant actors supporting the fossil fuel industry. This situation is characterized as ‘fossilized’ petro-provinces by political scientist Angela Carter. This article explores how Alberta, Canada’s largest oil and natural gas producer, became fossilized. The article develops a path dependence argument organized around the role of regionalism in Alberta’s political development. Regionalism is a crucial persistent feature of Alberta to explain its fossilization because it influenced the formation of an interdependence between the government and the industry, a distinct political culture, and a conservative-led party system.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".