Just cuts for fossil fuels? Supply-side carbon constraints and energy transition
Bibliographic record
Abstract
Reducing greenhouse gas emissions has generally been approached through demand-side initiatives, yet there are increasing calls for supply-side interventions to curtail fossil fuel production. Pursuing energy transition through supply-side constraints would have major geopolitical and economic consequences. Depending on the criteria and instruments applied, supply cuts for fossil fuels could drastically reduce and reorient major financial flows and reshape the spatiality of energy production and consumption. Building on debates about just transitions and supply constraints, we provide a survey of emerging interventions targeting the supply of, rather than the demand for, fossil fuels. We articulate four theories of justice and criteria to prioritize cuts among fossil fuel producers, including with regard to carbon intensity, production costs, affordability, developmental efficiency and support for climate change action. We then examine seven major supply constraint instruments, their effectiveness and possible pathways to supply cuts in the coal, oil and gas sectors. We suggest that supply cuts both reflect and offer purposeful political spaces of interventions towards a ‘just’ transition away from fossil fuel production.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".