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 recognition that economies are embedded within and dependent on nature is growing, with nature itself being seen as an asset to the economy. As the impacts of climate and biodiversity crises become more evident, policymakers are seeking robust measurements that integrate environmental and economic data, going beyond GDP. The System of Environmental-Economic Accounting (SEEA) supports this by measuring the interdependence of the economy and the environment. In March 2021, the United Nations Statistical Commission adopted the SEEA Ecosystem Accounting (SEEA EA) as an international standard for ecosystem accounting. This framework presents principles and recommendations for valuing ecosystem services and assets, reflecting environmental degradation in balance sheets as a cost to economic growth. SEEA EA will inform national policies and international initiatives, including the Sustainable Development Goals, the Kunming-Montreal Global Biodiversity Framework, and the United Nations Framework Convention on Climate Change, among others.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.033 |
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