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Record W2046103583 · doi:10.1162/glep_a_00141

Water Wars by Other Means: Virtual Water and Global Economic Restructuring

2012· article· en· W2046103583 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Environmental Politics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsECW Press (Canada)
Fundersnot available
KeywordsVirtual waterFraming (construction)Water scarcityPoliticsRestructuringLegitimacyEconomicsMiddle EastEconomic restructuringGlobalizationPolitical economyWater resourcesEconomic systemPolitical scienceEconomyMarket economyGeographyLaw

Abstract

fetched live from OpenAlex

In the mid-1990s, Tony Allan coined the term “virtual water” to describe international grain shipments, arguing that for purposes of economic efficiency and political legitimacy, governments in water-scarce nations would be better served by importing grain and diverting limited domestic water supplies to higher-value purposes than by producing grain. This concept has gained considerable traction in explaining the absence of “water wars,” particularly in the Middle East and North Africa (MENA). As a prescriptive policy measure, I argue first that the exemplarity of the MENA serves an ideological function, premised on a market environmentalist approach, and framing “water crisis” as a problem of physical scarcity rather than underdevelopment. Historical trends in virtual water imports, as well as the problem of American primacy in virtual water exports, are then used to develop an account of virtual water trade that situates it within the political and economic restructuring associated with US-led globalization.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.793

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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