Charting a path for microbial conservation in the IUCN: report on “Conservation in a Microbial World” meeting in San Diego, CA, May 2025
Bibliographic record
Abstract
In May 2025, the "Conservation in a Microbial World" conference was hosted at UC San Diego's Scripps Institution of Oceanography to address the lack of microbial representation in international conservation frameworks (i.e. International Union for Conservation of Nature-IUCN). Organized by Drs. Redford, Gilbert, Friedman, and Rodríguez, the meeting explored the importance of the microbial world in conservation and what can be done to include microbes in global conservation. The meeting gathered together experts in fungi, bacteria, and viruses with backgrounds in climate science, genomics, terrestrial and aquatic ecosystems, and human health, spanning research, industry, conservation, and policy. Key themes included: how to communicate the importance of microbes, how to conserve microbes themselves, and how microbes could be integrated into existing conservation. The primary outcome was the launch of the IUCN Species Survival Commission-Microbial Conservation Specialist Group. This initiative marks a pivotal step toward incorporating microbial life into global biodiversity conservation policy and practice.
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 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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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".