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Record W4214774388 · doi:10.33445/sds.2022.12.1.12

Valuing the joint effect of adult literacy and economic growth on renewable energy consumption in African zone

2022· article· en· W4214774388 on OpenAlexaff
Tanbir Hossain

Bibliographic record

VenueJournal of Scientific Papers Social development & Security · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsWestern University
Fundersnot available
KeywordsRenewable energyConsumption (sociology)LiteracyJoint (building)EconomicsEnergy consumptionNatural resource economicsEconomic growthSociologySocial scienceEngineeringEcologyBiologyArchitectural engineering

Abstract

fetched live from OpenAlex

Purpose: in this paper, the author tries to find out how the major two variables in economy called Economic growth (EG) and adult literacy rate (ALR) influence the behaviour of African people in different zones on renewable energy consumption (REC).
 Design/Method/Approach: The research is basically quantitative in nature and 52 African counties have been selected zonal-wise considering time series database from 1990 to 2018 (nearly 29 years). It is observed that EG has positive and significant impact on REC in Northern Africa Zone (NAZ) and ALR has positive and significant on REC in NAZ and Eastern African Zone (EAZ). Conversely, EG and ALR act as joint effect, it emphasises positive and significant on REC in EAZ only. 
 Findings: Sustainable development practice and social development are interconnected issues that are being tried to grab my most of the developing and underdeveloped economies, where their education level and economic growth can be influencing factors to change their behavioural characteristics to use renewable energy to ensure income and environmental sustainability.
 Practical implications (if applicable): This paper is constructed by zonal-wise which will help future researchers to build-up behavioural changing polices on REC in zonal basis. The developing and under developing economies can be somehow dependent on the population-behaviour which can affect to ensure environmental and social-sustainability.
 Paper type: theoretical.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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