Challenging energy transition and green jobs: climate policy obstruction across borders
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
Critical policy mobility literature still does not usually account for transnational opposition dedicated to push back against policy transfer. To address this gap, we examine the case of policy instruments and discourses in support of energy transition and green jobs. In the 2000s, countries such as Spain, Germany, and Denmark adopted policies to fund renewable energy expansion. The success of feed-in-tariff and other policies served as an example for the promotion of public renewable energy investment in the US. Yet by the early 2010s, Spain and Germany discarded feed-in tariffs and erected regulatory barriers against renewables. An opposing discourse coalition amplified policy controversies in North America and Europe. The Institute of Energy Research (IER) orchestrated such efforts in opposition to president Obama’s renewable energy program. An IER-led campaign focused on the denial of job market claims related to renewable energy (‘green jobs’). Pursuing a multi-site case study of opposition strategy mobility, we examine the organizational and discursive building blocks of this campaign. The campaign against renewable policy and green jobs undermined popular renewable energy transition arguments in times of financial crisis in the United States, and was also mobilized against renewable programs in Canada and Europe.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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