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Record W2049978354 · doi:10.1139/l10-003

Environmental evaluation of Turkey’s transboundary rivers' hydropower systems

2010· article· en· W2049978354 on OpenAlexvenueno aff
Mehmet Berkün

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsHydroelectricityHydropowerUpstream (networking)Downstream (manufacturing)Riparian zoneEnvironmental scienceEnvironmental impact assessmentWater resource managementWater resourcesAgricultureEnvironmental protectionEnvironmental planningEnvironmental resource managementGeographyBusinessEcologyEngineeringHabitat

Abstract

fetched live from OpenAlex

The Southeastern Anatolia Project (GAP), encompassing 27 dams and 19 hydroelectric power plants, is a large-scale water management program aiming at an increase in domestic electricity production and the development of vast irrigation schemes for agriculture. In spite of numerous benefits experienced in the area, there is also a multitude of impacts observed on the environment. The Coruh River is the longest river of the East Black Sea region and is of high economic importance to Turkey because of its largely exploitable hydropower potential. The Coruh project consists of 27 planned dams and hydroelectric power plants. The planned dams have the potential to cause serious environmental effects in upstream Turkey and downstream Georgia. Equitable, rational, and optimal utilization of transboundary water resources can be achieved through a scientific study, which will determine the true water needs of each riparian country. A precise assessment is needed of the economic, ecological, and social problems on the basis of the environmental impact and cumulative effect assessment reports.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.213
Teacher spread0.204 · 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

Citations11
Published2010
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Civil EngineeringSame topicTransboundary Water Resource ManagementFrench-language works237,207