A decade after the Nagoya Protocol – German biodiversity researchers’ perspective. Statement of the Permanent Senate Commission on Fundamental Issues of Biological Diversity (SKBV) of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Bibliographic record
Abstract
To support the implementation of the Global Biodiversity Framework, we must ensure non-commercial biodiversity research is facilitated by harmonizing access requirements and procedures as well as legal terms. The 10th anniversary of the Nagoya Protocol affords an opportunity to take stock: are we, as a global community, beginning to achieve the Protocol’s stated objectives? Non-commercial biodiversity researchers fully support fair and equitable benefit-sharing and the goal of halting “biopiracy”. However, the implementation of the Nagoya Protocol has become a hindrance to many international conservation-focused research projects, which means that significant opportunities are missed for non-monetary benefit-sharing and implementation of the Kunming-Montreal Global Biodiversity Framework which guides our research. These outcomes contradict the stated objectives of the Nagoya Protocol. Here we summarize our experience to-date and put forth proposals to counteract the current trends.
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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 | 0.025 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.012 | 0.007 |
| Insufficient payload (model declined to judge) | 0.027 | 0.012 |
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".