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Record W4283519461 · doi:10.1016/j.sftr.2022.100089

The Effects of Energy Consumption and Carbon Emissions on Turkey's Initiatives in Promoting Sustainable Environmental and Economic Development

2022· article· en· W4283519461 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

VenueSustainable Futures · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGreenhouse gasClimate changeNatural resource economicsRenewable energyClimate change mitigationSustainable developmentConsumption (sociology)Energy consumptionLow-carbon economyFossil fuelGlobal warmingSustainabilityEnvironmental scienceEnvironmental protectionEconomicsEngineeringWaste management

Abstract

fetched live from OpenAlex

Turkey has a major concern in managing greenhouse gas emissions and energy consumption. Although they ratified the Paris Agreement on October 2021 to tackle climate change, the country would face economic loss due to fossil fuel production and increasing carbon emissions. Multivariate adaptive regression splines (MARS) analysis indicates that Turkey's energy consumption is affected by population growth, natural gas price, carbon emissions, and loans put into non-renewable energy projects. To reduce greenhouse gas emissions while continue to stabilize the economy, active regulations must be implemented to mitigate the effects of climate change and promote sustainable urban development with proposed strategies.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.821

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 studies0.0010.000
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 head0.005
GPT teacher head0.181
Teacher spread0.176 · 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