Understanding and achieving species elements in the Kunming–Montreal Global Biodiversity Framework
Bibliographic record
Abstract
The Kunming-Montreal Global Biodiversity Framework was adopted in December 2022 by the parties to the Convention on Biological Diversity. The framework states outcomes for species to be achieved by 2050 in goal A and establishes a range of targets to reduce pressures on biodiversity and halt biodiversity loss by 2030. Target 4 calls for urgent recovery actions for species where the implementation of other targets is insufficient to eliminate extinction risk. We analyze key species elements of goal A and target 4, examine their meaning and clarify implementation needs. We emphasize that target 4 should not be seen simply as the species target, because effective implementation of all targets is essential to achieve the species ambitions in goal A, but, rather, as a target for species that require urgent focused actions and emphasize that an indicator is needed to measure the implementation of urgent management actions. We conclude by considering next steps to identify priorities, undertake further research, make use of resources, ensure cooperation and capacity development.
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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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".