Local responses to regional mandates: assessing municipal greenhouse gas emissions reduction targets in British Columbia
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
Local governments around the world face external and internal pressures to adopt climate change mitigation strategies. Provincial legislation in the Canadian province of British Columbia has recently mandated that all municipalities adopt targets for reducing greenhouse-gas emissions. Lack of specificity in the legislation gives rise to the possibility that even if compliance with the legislation is universal it could nonetheless result in minimal reductions in emissions releases. This article examines the response to the legislation of twenty municipalities in British Columbia’s most populous regions. We hypothesized that noncompliance would be rampant and that cities with large populations, high residential densities, lower growth rates, and prior climate change planning work would set more ambitious targets. However, findings indicate that municipal targets vary widely in terms of intensity, target year, and type of reduction and have little or no relationship to population, residential density, or growth rate. We found 90% compliance and some correlation between prior planning activities related to climate change and target intensity. Findings also indicate that despite the wide range of emissions targets by each municipality, provincial per capita targets would be met if each municipality were to achieve the targets that they have set by the 2050 target year.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.007 |
| 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