Complex problems and unchallenged solutions: Bringing ecosystem governance to the forefront of the UN sustainable development goals
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
Sustainable development aims at addressing economic, social, and environmental concerns, but the current lack of responsive environmental governance hinders progress. Short-term economic development has led to limited actions, unsustainable resource management, and degraded ecosystems. The UN Sustainable Development Goals (SDGs) may continue to fall short of achieving significant progress without a better understanding of how ecosystems contribute to achieving sustainability for all people. Ecosystem governance is an approach that integrates the social and ecological components for improved sustainability and includes principles such as adaptive ecosystem co-management, subsidiarity, and telecoupling framework, as well as principles of democracy and accountability. We explain the importance of ecosystem governance in achieving the SDGs, and suggest some ways to ensure that ecosystem services are meaningfully considered. This paper reflects on how integration of these approaches into policies can enhance the current agenda of sustainability.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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