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Record W2059742201 · doi:10.7202/043237ar

The Responsibility of States for Environmental Harm in a Multinational Context - Problems and Trends

2008· article· en· W2059742201 on OpenAlexaff
Jutta Brunnée

Bibliographic record

VenueTSpace · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLiabilitySovereigntyVaguenessContext (archaeology)Multinational corporationLaw and economicsBusinessHarmParallelsPolitical scienceEnvironmental lawInternational lawStrict liabilityLawEconomicsPoliticsGeography

Abstract

fetched live from OpenAlex

The paper begins with a discussion of parallels between problems of environmental liability law at the national and international levels. At both levels, rules built upon the concerns and priorities of another era had to be applied to the complex environmental problems of our times. Both systems have proven to be inadequate in addressing modern environmental concerns but have also evolved to better meet the challenge. The second part of the paper will highlight the shortcomings of the international system and of the law of state responsibility. They are rooted in the system's focus on the interests of sovereign states and include the vagueness of the relevant rules, the disagreement as to the standard of liability (fault or strict liability), the perception of many polluting activities as "lawful," the system's reactive character, the system's failure to effectively deal with ecological costs rather than injury to state interests. In its third part, the paper will survey developments and trends that may provide solutions to the aforementioned problems. Possible solutions include the emergence of rules that protect the common interests of the international community rather than the sovereign interests of states, the development of special liability regimes for more narrowly defined environmental concerns (generally: ultrahazardous activities), efforts of the International Law Commission to develop a risk liability regime, the proliferation of regimes designed to prevent or manage environmental problems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.348
Teacher spread0.311 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2008
Admission routes1
Has abstractyes

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