Bibliographic record
Abstract
On 4 March 2023, the Member States of the United Nations agreed in New York on the text of a new treaty on biodiversity in areas beyond national jurisdiction (BBNJ or ABNJ) –in international maritime areas. It took marathon process spread over more than ten years of informal discussions, four years of formal negotiations and the final session of almost 36 hours. Rena Lee, the President of the intergovernmental conference, announced to the applause of the delegates that the ship had finally “reached the shore”. This new BBNJ Agreement, now signed by more than 80 countries, is a historic step for the conservation and sustainable use of marine biodiversity of areas beyond national jurisdiction. It is also in consonance with the objectives of the global Kunming-Montreal Biodiversity Framework adopted at CBD COP15 in December 2022. This article aims to provide a preliminary analysis of the environmental (preamble, principles and approaches, area-based management tools and environmental impact assessments) and economic (marine genetic resources, capacity building and transfer of marine technologies) content of the 2023 BBNJ Agreement, which are both the result of important compromises. It also seeks to underline the numerous remaining uncertainties and potential difficulties it raises, especially in terms of implementation and articulation with existing instruments and frameworks.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".