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Record W2604267649

Diversions from the Great Lakes: Out of the Watershed and in Contravention of the Compact

2016· article· en· W2604267649 on OpenAlexaboutno aff
Christina L. Wabiszewski

Bibliographic record

VenueMarquette law review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsWatershedGeographyWater resource managementEnvironmental scienceComputer scienceComputer vision
DOInot available

Abstract

fetched live from OpenAlex

Alarmingly, in the next fifty years the United States will face not just drought, but complete dissemination of readily accessible water resources in areas ranging from its breadbaskets to its commercial and financial epicenters. As these lakes, reservoirs, wells, and aquifers drain, the communities that depend upon them will seek alternative and further-reaching water sources into which they can dip their proverbial straws. The most alluring and perhaps the most vital of these sources are the Great Lakes. In recognition that such straws may descend and that “Future Diversions and Consumptive Uses of Basin Water resources have the potential to significantly impact the environment, economy and welfare of the Great Lakes–St. Lawrence River region,” the region surrounding the Great Lakes championed for effective protections of Great Lakes waters. The Great Lakes–St. Lawrence River Basin Water Resources Compact (the “Great Lakes Compact” or the “Compact”), signed into effect in 2008 by President George W. Bush after being adopted in all eight states that border the lakes, as well as the two Canadian provinces to the north, is a legally-binding, international water compact that attempts to manage withdrawals out of the Lakes by creating a blanket prohibition on diversions outside of the Great Lakes Basin.

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 score0.568
Threshold uncertainty score0.964

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 studies0.0000.000
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 head0.020
GPT teacher head0.260
Teacher spread0.241 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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