The political economy of decarbonisation: from green energy ‘race’ to green ‘division of labour’
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
This paper aims to provide an addendum to the rapidly growing concept of a global ‘green energy race’ between major states. It argues that although this framing has been useful in underscoring important dynamics in the process of decarbonisation, its narrow focus on installed capacity obscures a much broader and more complex process at play. In particular, it overlooks the critical role played by states aggressively investing in R&D and export manufacturing in the renewable energy sector. The paper thus supplements the concept of a green ‘energy race’ with that of a green ‘global division of labour’, which sees the process of decarbonisation not exclusively as an effort by individual states to install renewables domestically, but rather as a collective and interdependent process by dozens of states, all striving in different ways to promote capital accumulation on their soil. The paper provides an overview of data covering innovation, manufacturing and deployment in the clean energy sector, and offers a theoretical analysis of the trends observed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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