Guidance on other effective area-based conservation measures (OECMs)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.017 |
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 it