Guidance on other effective area-based conservation measures (OECMs)
Bibliographic record
Abstract
The Kunming-Montreal Global Biodiversity Framework, adopted in 2022, provides a framework for the effective implementation of the Convention on Biological Diversity (CBD) through four goals and 23 targets. Target 3 (known as the ‘30x30 target’) calls on Parties to conserve at least 30% of terrestrial, inland waters, and coastal and marine areas by 2030. Target 3 is incentivising government agencies and other actors to advance diverse kinds of inclusive, equitable and effective area-based conservation. These guidelines are designed to promote good practices relating to identifying, reporting, monitoring and strengthening OECMs. They are intended for use by a wide range of rightsholders and stakeholders to promote understanding of whether a site meets the CBD criteria for identifying an OECM, how to report OECM data at the national and global levels, and how to monitor and strengthen OECMs.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.013 | 0.006 |
| Insufficient payload (model declined to judge) | 0.086 | 0.050 |
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".