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International Law's Lessons for the Law of the Lakes

2007· article· en· W25259413 on OpenAlexaboutno aff
Joseph W. Dellapenna

Bibliographic record

VenueUniversity of Michigan Journal of Law Reform · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLimitingResource (disambiguation)International lawState (computer science)International watersLawStructural basinPolitical scienceWater resourcesGeographyComputer scienceEngineeringEcologyGeology

Abstract

fetched live from OpenAlex

The eight Governors of the Great Lakes States signed a proposed new compact for the Great Lakes and St. Lawrence basin on December 13, 2005, and they joined with the Premiers of Ontario and Québec in a parallel agreement on the same topic on the same day. Neither document is legally binding-the proposed new compact because it has not yet been ratified by any State nor consented to by Congress; the parallel agreement because it is not intended to be legally binding. Both documents are designed to preclude the export of water from the Great Lakes-St. Lawrence basin apart from certain limited exceptions. The documents do little to promote rational resource management apart from limiting exports. There is debate over whether the two documents are adequate to achieve their announced goals and over whether the goals are the right ones. The lessons found in the well developed body of customary international law applicable to water resources, most recently summarized in the Berlin Rules on Water Resources, have largely been ignored. Comparison of the two documents with the Berlin Rules suggests that the documents will not provide satisfactory solutions to the challenges of managing the Great Lakes, even in the near future, given the broad ecological concerns that are not addressed in the two documents.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.997

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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 designTheoretical or conceptual
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

Citations2
Published2007
Admission routes1
Has abstractyes

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