Realizing the Precautionary Principle in Due Diligence
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 precautionary principle is a legal principle that has found considerable support in international environmental law. Its emergence, however, has not been without problems and controversies: how do we define its normative content and trigger elements, and how do we ensure concrete implementation. The 2011 Seabed Mining Advisory Opinion used states’ due diligence obligations to prevent harm to realize the precautionary principle. Focusing on this case, this article examines how the precautionary principle can be applied using the concept of due diligence. First, this article explores the precautionary concept using examples from a selection of regional and multilateral environmental instruments, analyzing its origin and different expressions and identifying the problems in its application. Second, the article analyzes the Pulp Mills case and the Seabed Mining Advisory Opinion to substantiate the role of the obligation to take precautionary measures in the legal framework of due diligence. Third, by reference to the International Law Commission’s Draft articles on Prevention of Transboundary Harm from Hazardous Activities and the International Law Association’s study report on the Legal Principles relating to Climate Change, along with a number of international cases, the article further illustrates the distinction between due diligence, prevention and precaution and argues that they are actually interrelated.
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 | 0.001 | 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) | 0.000 | 0.001 |
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