Racial Capitalism and Climate Change: Colonialism and Climate Law and Policy in the Commonwealth
Bibliographic record
Abstract
This Article provides a snapshot of current climate policy and litigation experiences in a select group of Commonwealth countries: the United Kingdom, Canada, India, Pakistan, Kiribati, and The Bahamas. It traces current domestic climate policies and litigation experiences back to the colonial histories of these countries. These Commonwealth countries enjoy a shared common law tradition, but in the context of climate change, levels of climate vulnerabilities, resilience, and historic and current responsibilities for emissions vary tremendously. Levels of climate vulnerability, and climate responsibility, often reflect the colonial histories of these countries. These colonial histories are reflective of racial capitalist trajectories that impact current day emissions, consumptive habits, and climate vulnerabilities. Political and economic blockages to progressive climate action persist in some Global North countries. Many current carbon major emitting companies are also located in several Global North countries in the Commonwealth, and many of these companies also have colonial histories and climate responsibilities. Additionally, policy and financial constraints in tackling the climate crisis persist in Global South countries. Policy constraints and blockages are not uniform, and they at times cross over the North-South divide, as do emerging legal relationships. Vulnerable populations and sacrifice zones exist within the Global North. Elites in the Global South also replicate racial capitalistic tendencies of oppression and exclusion towards more vulnerable subpopulations. Despite these hurdles, significant opportunities have emerged in many jurisdictions, largely as a result of innovative climate litigation suits, particularly in the Global South. This Article argues that litigants across the Commonwealth can share strategies and best practices in order to move climate policy forward in their jurisdictions, and reduce climate vulnerabilities.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.021 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".