The human right to a clean, healthy and sustainable ocean
Bibliographic record
Abstract
Abstract The United Nations General Assembly adopted a resolution in 2022 that formally recognizes that there is a universal human right to a clean, healthy and sustainable environment. Yet there is evidence that human rights impacts associated with the degradation of the ocean environment are accelerating. In this perspective, we highlight how the recognition of the human right to a healthy environment can catalyze ocean action and transform ocean governance. In particular, it can do so through 1) catalyzing marine protection and increasing accountability through clarifying state obligations, 2) improving the inclusiveness of ocean governance, including through prioritizing and empowering groups in situations of vulnerability, and 3) enhancing ocean economy practices through clarifying private sector responsibilities. To those ends, there is an urgent need to move from recognition to implementation in order to protect both current and future generations’ human right to a clean, healthy and sustainable ocean.
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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.025 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.016 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".