Inspiration from the Kunming-Montreal Global Biodiversity Framework for SDG 15
Bibliographic record
Abstract
Abstract With the United Nations’ Agenda 2030, countries worldwide have committed to a set of Sustainable Development Goals (SDGs) to be achieved by 2030. Among them is SDG 15, known as Life on Land. What makes this SDG special is that several of its targets had been scheduled for completion by 2020– raising the question what should happen to these targets after 2020 as they have not yet been achieved. With the approaching 2023 SDG Summit in mind, this perspective paper examines how the Kunming-Montreal Global Biodiversity Framework, which was adopted under the Convention on Biological Diversity in late 2022, might provide guidance for the implementation of SDG 15 and maintain the momentum for action until 2030. Three areas are critical. First, concerning protected areas, the strengthened rights-based approach of the Kunming-Montreal Global Biodiversity Framework should be integrated into SDG 15. Second, the new framework promotes the sustainable use of biodiversity more clearly than SDG 15 and should hence guide transformation of the biodiversity-based economic sectors. Finally, the Kunming-Montreal Global Biodiversity Framework provides the first quantified financial target for global biodiversity action, and at the SDG Summit, that target should be reinforced by additional financial commitments. Guidance in these three areas can be integrated into the SDG Summit’s Political Declaration and into the voluntary pledges that countries are expected to make at the Summit, and it can inform the review of the SDG indicators.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".