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Record W4285596567 · doi:10.3390/su14148651

ICT and Environmental Sustainability: A Comparative Study

2022· article· en· W4285596567 on OpenAlexaffabout
Samin Shaaban-Nejad, Farid Shirazi

Bibliographic record

VenueSustainability · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEnergy, Environment, Economic Growth
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInformation and Communications TechnologySustainabilityEmpirical researchGlobal warmingGreen computingBusinessDeveloping countryClimate changeEconomic growthEnvironmental economicsPolitical scienceEconomicsCloud computing

Abstract

fetched live from OpenAlex

This study investigates the role of information and communication technology (ICT), political instability and violence, and international protocols on global carbon emissions. Our empirical analysis used archival data for 146 economies from 1996 to 2019. The study’s estimates are also based on subsamples from the Organization for Economic Co-operation and Development member countries. The study found that ICT has statistically significant impacts on reducing CO2 emissions globally, but the extension of the impact for OECD member countries is considerably more substantial. Therefore, the subject of study is considered to be among the first few studies to measure the effects of violence and regional conflicts on global warming—a notable result for conflict regions around the world. Additionally, the authors narrowed down the findings to a micro level and conducted a comparative study between Canada and the United Kingdom to evaluate the countries’ performances concerning climate mitigation initiatives.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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 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

Citations14
Published2022
Admission routes2
Has abstractyes

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