State of global environmental governance 2023
Bibliographic record
Abstract
for Sustainable Development (IISD) is an award-winning independent think tank working to accelerate solutions for a stable climate, sustainable resource management, and fair economies.Our work inspires better decisions and sparks meaningful action to help people and the planet thrive.We shine a light on what can be achieved when governments, businesses, non-profits, and communities come together.IISD's staff of more than 200 experts come from across the globe and from many disciplines.With offices in Winnipeg, Geneva, Ottawa, and Toronto, our work affects lives in nearly 100 countries.IISD is a registered charitable organization in Canada and has 501(c)(3) status in the United States.IISD receives core operating support from the Province of Manitoba and project funding from governments inside and outside Canada, United Nations agencies, foundations, the private sector, and individuals. Earth Negotiations BulletinEarth Negotiations Bulletin (ENB) is a trusted source of information about global environmental negotiations.It provides a variety of multimedia informational resources for sustainable development policymakers, including daily coverage of international negotiations, analyses, and photos.ENB is recognized for its objectivity and expertise in international environment and sustainable development policy.The various products provided by ENB make it an essential source of information for government officials, decision makers, UN staff, nongovernmental organizations, intergovernmental organizations, business, and academia.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.063 | 0.032 |
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".