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Record W3124981906

Environmental Rights for the Future: Intergenerational Equity in the EU

2007· article· en· W3124981906 on OpenAlexaff
Lynda Collins

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsIntergenerational equityDoctrineSustainable developmentEquity (law)Human rightsEnvironmental lawPolitical scienceSocial equalityLaw and economicsBusinessEconomicsSustainabilityLawEcology
DOInot available

Abstract

fetched live from OpenAlex

Courts, commentators and legislators in Europe and around the world have now recognized that environmental degradation may constitute a violation of human rights. While the human rights model may be effective in addressing the environmental interests of existing human beings, there is a pressing need for a legal doctrine that effectively addresses the environmental rights of the future. Although the EU has actively embraced the sustainable development model and its recognition of the environmental needs of future generations, it has failed to embrace the correlative doctrine of intergenerational equity – a detailed, specific and pragmatic legal framework for global and domestic environmental governance. This article assesses EU environmental law and policy against the requirements of the doctrine of intergenerational equity and concludes that the EU’s sustainable development model is inadequate from the perspective of future generations. The recommendation is made that the EU adopt intergenerational equity as a necessary corollary to sustainable development.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.011
Scholarly communication0.0060.007
Open science0.0010.006
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.322
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2007
Admission routes1
Has abstractyes

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