Fossil Capitalism to Climate Capitalism: Contemporary Systems for Capitalist Accumulation and Incremental Climate Action
Bibliographic record
Abstract
Political economists have long developed theories to describe the relationship between our economic system, capitalism, and the environment. Laurie Adkin details some of the complexities of this issue in her work on climate capitalism and ecological democracy (2017, 3). She mentions ‘fossil capitalism,’ which is one of the foundational concepts in this ontology. More recently, the concept of ‘climate capitalism’ has emerged. Both fossil capitalism and climate capitalism are essential concepts to understand when studying the intersection of economic systems and the environment. In this paper, I will discuss the question: why have political economists developed the theoretical concept of ‘climate capitalism’ as a successor to ‘fossil capitalism?’ To address the question’s complexities, I will unpack it systematically, and consider related questions. In this paper, I argue that the shift from ‘fossil capitalism’ to ‘climate capitalism’ does not constitute a shift in the capitalist sentiment towards the environment, but rather is a strategic repositioning tactic of the capitalist accumulation class.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.013 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".