Navigating the (In)visible Chemical Pollution: The Legal Challenge of ‘Forever Chemicals’ (PFAS)
Bibliographic record
Abstract
Per- and polyfluoroalkyl substances (PFAS), known for their exceptional persistence, constitute a large group of chemical compounds that have been widely used since the 1940s in industrial applications and in products such as pesticides, food packaging, firefighting foams, cosmetics, and non-stick cookware. However, this persistence results in their continuous presence in the environment, as they do not naturally break down, leading to accumulation in soils and water and causing serious impacts on human health and the environment. Regulation of PFAS at international and European levels includes a range of regulatory tools, such as the Montreal Protocol for ozone layer protection, the Stockholm Convention on Persistent Organic Pollutants, and the European REACH Regulation. Chemical pollution from PFAS compounds is also one of the major challenges in the judicial handling of environmental cases, with proving causation and identifying the pollution source being extremely difficult, as has been highlighted in cases in the USA, Sweden, the Netherlands, Belgium, and in Greece, with the case of the Asopos River. A comprehensive approach to addressing the PFAS challenge requires combined strategies of prevention, design, and remediation, incorporating the principles of circular economy and prevention. The application of the “polluter pays” principle can act as a deterrent, enhancing the responsibility of producers and preventing the dangerous use of these chemicals. Legal progress and the adaptability of the regulatory framework are of crucial importance for the effective management of PFAS and the remediation of the impacts of their production.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.017 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".