Upscaling marine and coastal restoration through legal and governance solutions: Lessons from global bright spots
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
There is a global imperative to upscale restoration in line with the Kunming-Montreal Global Biodiversity Framework. Upscaling of marine and coastal restoration is hindered by legal and governance barriers. Identifying both the types of barriers and potential solutions from global ‘bright spots’ is a first step toward implementing legal and governance frameworks to facilitate upscaling of marine and coastal restoration. Here we identify five types of barriers including (a) lack of fit-for-purpose permitting frameworks, (b) tenure issues, (c) concerns regarding risk and liability, (d) a lack of overarching targets for restoration, and (e) uncoordinated governance frameworks. For each barrier, we conduct a broad analysis of legal and governance solutions from across the world. Our analysis provides a guide for future research and law and governance reform.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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