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Record W2147887219 · doi:10.15355/epsj.2.2.42

The peaceful resolution of U.S.-Mexican transboundary water disputes

2007· article· en· W2147887219 on OpenAlexaboutno aff
Alyssa M. Neir, Michael E. Campana

Bibliographic record

VenueThe Economics of Peace and Security Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsWater tradingCommissionGroundwaterAquiferWater qualityPolitical scienceWater supplyInternational tradeBusinessLawEnvironmental scienceWater resourcesWater conservationEnvironmental engineeringEngineering

Abstract

fetched live from OpenAlex

To deal with boundary and transboundary water issues along their border, the United States and Mexico established the International Boundary and Water Commission (IBWC) in 1889. Initially dealing only with surface water flows, its flexibility permitted changes such that groundwater and water quality issues could be addressed. In 1994, the U.S., Mexico, and Canada adopted the North American Free Trade Agreement (NAFTA) primarily to facilitate trade, but which can govern water as an article of commerce. Both NAFTA and the IBWC have been instrumental in promoting peaceful solutions to water issues. The article examines three cases: (1) Mexico's protesting of a U.S. plan to line the All-American Canal on the Mexico-California; (2) the underdelivery of Mexican Rio Grande water to the U.S. state of Texas; and (3) the case of an aquifer entirely within Mexico whose supply is being stressed because of a shift in agricultural production prompted by NAFTA. The article concludes that both countries should: (1) develop a more formal system for groundwater issues and (2) exercise vigilance with respect to NAFTA's ability to treat water solely as an economic good.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.013
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.244
Teacher spread0.235 · 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 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

Citations8
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueThe Economics of Peace and Security JournalSame topicTransboundary Water Resource ManagementFrench-language works237,207