MétaCan
Menu
Back to cohort
Record W2218132594

Enerjı Kullanımı Ve Ekonomık Büyüme İlışkılerı: Teorı Ve Ekonomı Polıtıkaları (Energy Consumptıon and Economıc Growth Nexus: Theory and Economıc Polıcy)

2014· article· tr· W2218132594 on OpenAlexaff
Cihan Bulut, Hasanov Fakhri, Elchin Suleymanov

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languagetr
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsGeorge Brown College
Fundersnot available
KeywordsWelfare economicsEconomicsNexus (standard)Energy consumptionHumanitiesEconomyEngineeringPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Turkish Abstract: Enerji tuketimi ve ekonomik buyume iliskisi gecmisten gunumuze gerek teorik gerekse uygulama yonunden onemli tartisma konularindan birisidir. Gunluk hayatimizda vazgecilmez bir yere sahip olan enerji tuketimi, her gecen gun daha onemli hale gelmektedir. Enerji ihtiyacinin artma yonumlu olmasina karsin bazi enerji kaynaklarinin tukenebilir olusu, ayrica bircok ulke icin disa bagimliligin sozkonusu olmasi, uretimde cevresel veya ekolojik tesirlerin varligi enerji konusunu daha onemli ve hassas konuma tasimaktadir.Bu calismada enerji kullanimi ile ekonomik buyume iliskileri ile ilgili cesitli ulke grubu ve tek bir ulke calismalari incelenmis ve bu iliskinin yonu genellestirilmis ve degerlendirilmistir.English Abstract: Energy consumption - economic growth nexus is one of the hot research topics over the last four decades. Energy consumption becomes an indispensable part of daily life as socio-economic environment of the world nations advances. Moreover, some points such as main energy sources are not renewable, many countries are dependent from import of energy resources, as well as environmental and ecological issues makes energy consumption much more important and sensitive topic. In this paper, we briefly review the empirical studies on the energy consumption economic growth relationship in the case of both single country and group of countries, as well as present main four hypotheses of this relationship and their policy implications.

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 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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
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 head0.003
GPT teacher head0.176
Teacher spread0.173 · 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 teacher head, not a consensus.

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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicEnergy and Environment ImpactsFrench-language works237,207