MétaCan
Menu
Back to cohort
Record W2067467809 · doi:10.1142/s1464333200000473

ENVIRONMENTAL DECISION MAKING IN A TRANSBOUNDARY CONTEXT: PRINCIPLES AND CHALLENGES FOR THE DENMARK-SWEDEN ØRESUND FIXED LINK

2000· article· en· W2067467809 on OpenAlexfundno aff
Warwick Gullett

Bibliographic record

VenueJournal of Environmental Assessment Policy and Management · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Environmental Law and Policies
Canadian institutionsnot available
FundersCommission for Environmental Cooperation
KeywordsPrecautionary principleSustainable developmentSustainabilityProcess (computing)Context (archaeology)Environmental lawEnvironmental planningPolitical scienceBusinessEnvironmental economicsEnvironmental resource managementManagement scienceEconomicsComputer scienceLawGeography

Abstract

fetched live from OpenAlex

It is now possible to identify projects or activities in many countries whose policy objectives of promoting "sustainable development" have been achieved. The philosophy underlying the "sustainable development" concept captures misgivings about the nature of development and about social and technological ability to avoid further deterioration of the environment. Although many of the advances in environmental law and theory have occurred in international forums, implementation of sustainable development principles is less evident at the international than at the local level. The is due, in large part, to the difficulties created by multiple jurisdictions and the increased complexity of regional or global environmental problems. This paper considers the challenges and opportunities that exist for improving the implementation of the precautionary principle as a sustainability objective at the international level. It concentrates upon approval processes for development projects with potential cross-border environmental effects. A case study is provided of the decision making process for the Øresund Fixed Link between Denmark and Sweden.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.284
Teacher spread0.263 · 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 designOther design
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

Citations5
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Environmental Assessment Policy and ManagementSame topicInternational Environmental Law and PoliciesFrench-language works237,207