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Record W2114258902 · doi:10.1080/23258020.2013.864877

Drought, dams, and survival: linking water to conflict and cooperation in Syria’s civil war

2014· article· en· W2114258902 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

VenueInternational Affairs Forum · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsPeacebuildingNexus (standard)Spanish Civil WarContext (archaeology)Political sciencePoliticsCivil ConflictRefugeePolitical economyWork (physics)Natural resourceArmed conflictConflict resolutionCivil societyWater resourcesDevelopment economicsSociologyLawGeographyEngineeringEconomicsArchaeologyEcology

Abstract

fetched live from OpenAlex

In an attempt to contribute to the literature on natural resources and civil war, this paper addresses the role of water in the ongoing armed struggle in Syria. It examines the question “To what extent is water linked to conflict and cooperation in Syria’s civil war?” Based on an analysis of scholarly work and media reports, it is argued that water is closely linked to the violent conflict in Syria through its roles as a contributing cause to the 2011 uprising; a strategic tool and military target; and a means of survival for IDPs and refugees. Going beyond assessing the water-conflict nexus, the paper also shows how water could help foster transboundary cooperation and peacebuilding in the Syrian context. Although the civil war’s outcome is still uncertain, the importance of water to all facets of society might eventually help restore Syria’s political, social, and economic fabric while promoting regional stability.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
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 studies0.0000.000
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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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