The Political Viability of Carbon Pricing: Policy Design and Framing in British Columbia and California
Bibliographic record
Abstract
Abstract The adoption of climate policies with visible, substantial costs for households is uncommon because of expected political backlash, but British Columbia's carbon tax and California's cap‐and‐trade program imposed such costs and still survived vigorous opposition. To explain these outcomes, this article tests hypotheses concerning policy design, framing, energy prices, and elections. It conducts universalizing and variation‐finding comparisons across three subcases in the two jurisdictions and uses primary sources to carry out process tracing involving mechanisms of public opinion and elite position‐taking. The article finds strong support for the timing of independent energy price changes, exogenous causes of election results, reducing the visibility of carbon pricing, and using public‐benefit justifications, as well as some support for making concessions to voters. By contrast, the effects of the use of revenue, industry exemptions/compensations, and making polluters pay are not uniform, because the effects of revenue use depend on how it is embedded in coalition building efforts and a middle path between exempting or compensating industry and burdening it appears to be more effective than pursuing just one or the other approach.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 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".