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Record W7124520649

Navigating the (In)visible Chemical Pollution: The Legal Challenge of ‘Forever Chemicals’ (PFAS)

2025· article· en· W7124520649 on OpenAlexaboutno aff
Ifigeneia Tsakalogianni

Bibliographic record

VenueDocument Server@UHasselt (UHasselt) · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsnot available
Fundersnot available
KeywordsConventionAdaptabilityHuman healthCausationDamagesPrecautionary principleLegislationMontreal Protocol
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.013
GPT teacher head0.305
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueDocument Server@UHasselt (UHasselt)Same topicPer- and polyfluoroalkyl substances researchFrench-language works237,207