Bibliographic record
Abstract
The Subsidiary Body on Scientific, Technical and Technological Advice (SBSTTA) for the Convention on Biological Diversity (CBD) held its seventeenth meeting (SBSTTA-17) in Montreal, Canada, on 14–18 October. Recommendation XVII/1 of SBSTTA-17 discussed the scientific and technical needs related to the implementation of the Aichi Biodiversity Targets of the Strategic Plan for Biodiversity 2011–20. Needs focus on more reliable, accessible, and affordable data; better integration of the social sciences and more effective communication; the improvement of methodologies to assess status and trends of species and ecosystems; the improvement of planning tools; better integration of science and policy; the wiser use of economic instruments; better inclusion of indigenous and traditional knowledge bases; and the maintenance, conservation, and restoration of ecosystems. Referring to Target 6 (sustainable harvest and management of fish stocks by 2020), Recommendation XVII/1 notes that a major challenge is the application of the term ‘safe ecological limits’ at population and ecosystem levels. Monitoring should focus on inland, coastal, and pelagic fisheries. Target 10 (minimization of anthropogenic impacts of coral reefs and other ecosystems impacted by climate change by 2015) centres on the identification of vulnerable ecosystems at national and regional levels using the consistent assessments of relative vulnerability to climate change. The SBSTTA recommendation also identifies needs for Target 11 (10 percent of coastal and marine areas should be conserved through systems of protected areas by 2020). Marine spatial planning tools can help meet this goal, and research must focus on the impacts of climate change on marine and coastal protected areas. Recommendations relevant to coastal areas also focus on Target 15 (restoration of at least 15 percent of degraded ecosystems to enhance carbon stocks thus contributing to climate change mitigation and adaptation). The SBSTTA notes that capacity and knowledge about the restoration of coastal and marine ecosystems is limited and encourages further development of pilot projects. Additionally, improvement of remote sensing tools for measuring carbon in aquatic ecosystems (blue carbon) is necessary.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.076 | 0.035 |
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".