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Record W1934661175 · doi:10.1186/s40068-015-0039-9

Qanat water supply systems: a revisit of sustainability perspectives

2015· article· en· W1934661175 on OpenAlexaff
Fuzhan Nasiri, Mohammad Mafakheri

Bibliographic record

VenueENVIRONMENTAL SYSTEMS RESEARCH · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWater management and technologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsSustainabilityAridWater supplyGroundwaterEnvironmental planningSustainable developmentEnvironmental resource managementRainwater harvestingGeographyWater resource managementBusinessEngineeringEnvironmental sciencePolitical scienceEcologyEnvironmental engineering

Abstract

fetched live from OpenAlex

As declared by UNESCO, Qanats are considered as a great human heritage. For many centuries, they presented a rational way of groundwater management in arid rural areas. This paper aims at revisiting this ancient water supply system reviewing its structure and characteristics including construction and operational issues. On that basis, we highlight some key sustainability perspectives related to this ancient water supply practice. We advocate that this ancient technology should not only be protected as a great human heritage but also be reconsidered as a sustainable way of groundwater management in arid/semi-arid regions.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.008
Scholarly communication0.0050.006
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.278
Teacher spread0.216 · 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

Citations67
Published2015
Admission routes1
Has abstractyes

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