Bibliographic record
Abstract
Scientists describe the current “Anthropocene epoch” as one of profound anthropogenic disruptions in the ecosphere that place humanity at an unacceptable risk. This unprecedented ecological moment in human history is rooted in profoundly unsustainable patterns of production and consumption protected by liberal power structures expressed through law. The exigencies of the Anthropocene call us to expand the subjects of resistance to include future generations of humans, plants, non-human animals, ecosystems and “non-living” natural entities (such as water, air and climatic systems). Since these constituencies cannot resist in a socio-political sense, their representation in current socio-political systems will depend upon “an insurrection of subjugated knowledges” (Foucault 1980, p. 81) including Indigenous law, pre-modern holistic traditions of Western legal thought, and emerging theories of ecological law. This article will explore these approaches as possible paths forward in the Anthropocene, employing a comparative law perspective that considers relevant jurisprudence and policy developments from around the globe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.035 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".