The Political Viability of Carbon Pricing: Policy Design and Framing in British Columbia and California
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it