Surging Biojustice Environmentalism from Below: Hope for Ending the Earth System Emergency?
Bibliographic record
Abstract
Abstract Global environmental politics is at a critical juncture as the Earth System emergency deepens. The core environmental policies and actions of governments, intergovernmental organizations, corporations, and, to a lesser extent, mainstream nongovernmental organizations are visibly failing to deescalate this emergency. In response to these failures, we argue, dispossessed individuals, Indigenous peoples, grassroots activists, and civil society campaigners are joining forces to challenge market-liberal and institutionalist thinking and initiate new ways of organizing political and social life that prioritize biological integrity and social justice: what we describe as “biojustice environmentalism from below.” Global environmental governance, meanwhile, is at a crossroads, becoming increasingly polycentric as biojustice environmentalism surges and as corporations seek to capture governance spaces through multistakeholder initiatives. How surging biojustice environmentalism in a polycentric governance landscape plays out in the coming years, we conclude, will be crucial for humanity’s ability to stem the escalating global environmental crisis.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| 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".