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Record W7126748800

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)

2024· other· en· W7126748800 on OpenAlexaboutno aff
Ralf Bartenschlager, Erwin Beck, Sven Bradler, Catharina Caspari, Markus Fischer, Jens Freitag, Lucas Hennicke, Alexandra-Maria Klein, Jörg Overmann, Sabine Schlacke, Daniela Schmitt, Amber Hartman Scholz, Björn Usadel

Bibliographic record

VenueFreiDok plus (Universitätsbibliothek Freiburg) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityGermanProtocol (science)CommissionConvention on Biological DiversityDiversity (politics)
DOInot available

Abstract

fetched live from OpenAlex

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.<br>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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.009
Science and technology studies0.0020.005
Scholarly communication0.0000.001
Open science0.0060.011
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.139
GPT teacher head0.419
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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