Revisiting limits to legal mobilization for global climate justice
Bibliographic record
Abstract
Amidst disproportionate climate-related harms and inadequate responses, affected groups have turned to legal mobilization. This paper analyzes socio-ecological complexity and territorial limits as themes of enduring relevance in official responses to the Inuit Circumpolar Council’s and Maldives’ foundational legal claims that climate change violates human rights, considering these against the backdrop of evolving understanding of responsibility for climate-related harm in scientific, political, and public discourse. The claims demonstrated that when legal analysis integrates scientific and traditional knowledge, climate change can be seen as violating rights internationally, and identifiable actors as culpable. Respondents disagreed, citing the complexity of climate-related harm, which combines multiple human actors, environmental processes, probability, prediction, and extraterritorial impact. Unresolved gaps between these interpretations raise doubts about law’s relevance to growing global inequities of climate change and other processes that mix people, places, and things.
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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 | 0.064 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.018 | 0.120 |
| Scholarly communication | 0.026 | 0.031 |
| Open science | 0.005 | 0.021 |
| Research integrity | 0.015 | 0.018 |
| Insufficient payload (model declined to judge) | 0.007 | 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".