Less Specific and More Comprehensive? An Analysis of How the Ocean Is Reflected in the Kunming-Montreal Global Biodiversity Framework
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In response to the increasing trend of biodiversity decline globally and its consequences for the planet as a whole, the Convention on Biological Diversity Conference of the Parties adopted the Kunming-Montreal Global Biodiversity Framework ( GBF ) in December 2022. The Framework sets conservation, sustainability and equitable sharing of benefits from the use of genetic resources and MEA ns of implementation goals to be achieved by 2050, and actionable targets to be achieved by 2030 to halt and reverse biodiversity loss. During the negotiations and even after the adoption of the GBF , much debate has surrounded how the ocean has been represented in the Framework. By addressing the scope of the GBF vis-à-vis the Convention, quantifying and comparing the use of marine-related terms in the GBF and in the previous biodiversity framework, and aligning relevant COP decisions and objectives and activities of the CBD Programme of Work on Marine and Coastal Biodiversity with the GBF targets, we conclude that the GBF does not fail to address marine and coastal biodiversity and all targets are applicable to this ecosystem.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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 it