Bibliographic record
Abstract
UNGA/HLPF - Sustainable Development at the Highest Level "Waruna Dhanapala* and Palitha Kohona" 182 UN/GA-Marine WG - Agreement on Recommendations "Palitha Kohona" 183 UNCLOS/UNICPO-14 - Focus on Ocean Acidification "Ann Powers" 183 UNFCCC/Subsidiary Bodies - Climate Change Talks Stutter in Bonn "Ian Fry" 186 UNEP/GC-27 - A Perspective on Global Law and Governance "Alfred Rest" 189 Montreal Protocol/OEWG-33 - Exemptions, Guidelines and Amendments Considered 191 Ramsar Convention - Chemical Legislation in Asia "Rice-paddy Wetlands and Agriculture" (Amado S. Tolentino, Jr) 194 CBD - Focus on Biodiversity Mainstreaming "Elsa Tsioumani" 199 IPBES - Preparing to Give the Green Light "Pierre Commenville" 206 Aarhus Convention - Compliance Committee: 40th Meeting "Elsa Tsioumani" 207
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".