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Palestinian Water I: Resources, Allocation and Perception

2010· article· en· W2062642763 on OpenAlexaff
Marwan A. Hassan, Graham McIntyre, Brian Klinkenberg, Abed Al‐Rahman Tamimi, Richard K. Paisely, Mousa Diabat, Khaled Shahin

Bibliographic record

VenueGeography Compass · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWest bankControl (management)Distribution (mathematics)SustainabilityPerceptionWater resourcesEnvironmental planningBusinessTariffGeographyEnvironmental resource managementWater resource managementNatural resource economicsPolitical scienceEnvironmental scienceEconomicsPalestinePsychologyEcology

Abstract

fetched live from OpenAlex

Abstract Transboundary water issues are not new; however, the Palestinian case represents a unique situation that is atypical from most transboundary water conflicts. This difference is marked most importantly by the issue of lack of domestic control over water resources within the Palestinian Territories. Since the Israeli occupation of the West Bank in 1967, Palestinian water policy has been dictated by Israeli control, which has resulted in an allocational shift in water distribution in the Palestinian Territories. In this article we review transboundary water practices and conflicts, water resources, allocation and consumption, water perception, and water reuse and conservation in the Palestinian West Bank in order to assess contemporary trends in water practices as well as recommend strategies for improving regional water management. Water use and perception are assessed based on an extensive unpublished research survey conducted by the Palestinian Hydrology Group in 2002. The final report from this survey focused on developing criteria and linking initial results from the survey to the design of a cost effective and equitable water delivery system that would provide all Palestinians with basic water needs. In this article, through a reassessment and statistical analysis of their data, we support the recommendations of this initial survey, including the implementation of an increasing block tariff system as a means of sustainably delivering water throughout the West Bank. However, any future water management cannot proceed in an effective manner unless some level of water control is relinquished by Israel.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.242
Teacher spread0.233 · 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 designQualitative
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

Citations6
Published2010
Admission routes1
Has abstractyes

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