Elisabeth Mann Borgese: Reflections from the Past for the Future of Earth Systems Governance
Bibliographic record
Abstract
Abstract In a time of global ecological crisis, some legal scholars are calling for the convergence of law and Earth Systems Governance as a pathway for moving forward. Specifically, the Earth Systems Governance Framework is understood as an approach to steering the co-evolution of human-environment systems. However, as I argue, this path forward may not necessarily be new. Elisabeth Mann Borgese (1918–2002), Nobel Peace Prize nominee and founder of the International Oceans Institute, spent the better part of the past century theorizing, as well as seeking to implement, such ecological relational thinking. In this Reflection, I briefly introduce some of Mann Borgese’s contributions to global ocean governance and the ways in which her thinking speaks to ongoing research in the areas of Earth Systems Governance and Earth Systems Law.
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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 | 0.008 | 0.014 |
| 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 | 0.019 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 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".