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Record W2047162145 · doi:10.1504/ijssoc.2012.044665

Hydropolitics is what societies make of it (or why we need a constructivist approach to the geopolitics of water)

2012· article· en· W2047162145 on OpenAlexaff
Frédéric Julien

Bibliographic record

VenueInternational Journal of Sustainable Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsWilfrid Laurier UniversityUniversity of Ottawa
Fundersnot available
KeywordsConstructivism (international relations)GeopoliticsEpistemologyInternational relations theoryMainstreamGlobeRealismSociologyInternational relationsAgency (philosophy)PoliticsSocial sciencePolitical sciencePhilosophyPsychologyLaw

Abstract

fetched live from OpenAlex

Although the study of hydropolitics (i.e. the geopolitics of water) is mainly an offshoot of the discipline of International Relations (IR), the use of IR conceptual tools remains largely implicit in the literature. As a result, theoretical exploration has been very limited in hydropolitics and is usually cast within IR’s traditional divide between realism and liberalism. This is problematic because the quest for a predictive and parsimonious science of politics that characterises mainstream IR theory may be overly rigid and too narrow a strategy to understand the full diversity exhibited by water-related interstate relations around the globe. With its anti-deterministic and pro-human agency stance, constructivism constitutes a promising alternative approach to hydropolitics that can be explored if theorisation is made explicit. In this regard, securitisation theory is one example of constructivism’s great potential in hydropolitical analysis.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.049
Scholarly communication0.0090.017
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.296
Teacher spread0.272 · 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 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

Citations47
Published2012
Admission routes1
Has abstractyes

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