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Record W2070472893 · doi:10.3844/ajassp.2014.1722.1726

LED TECHNOLOGY FOR BUILT AND ENVIRONMENT OF MALAYSIA

2014· article· en· W2070472893 on OpenAlex
Masoud Dalman, Mona Erfanian Salim, B. Bakhtyar, Amir Mahmoud Ghafarij, Omidreza Saadatian

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAmerican Journal of Applied Sciences · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicImpact of Light on Environment and Health
Canadian institutionsnot available
Fundersnot available
KeywordsIndustrialisationInvestment (military)Context (archaeology)ElectricityConsumption (sociology)BusinessLED lampPopulationQualitative researchEnvironmental economicsArchitectural engineeringEngineeringGeographyEconomicsSociologyPolitical scienceElectrical engineering

Abstract

fetched live from OpenAlex

Increasing the country population and the trend of industrialization caused increasing Malaysia's electricity consumption. Light Emitting Diode (LED) is a new sustainable technology that has taken over the conventional lighting in built and environment in a few developed counties in the recent years. However, Malaysia is left behind in using this technology due to unfamiliarity of the decision makers on its advantages. The research is using a mixed qualitative and quantitative method for finding advantages of LED for lighting the streets and built and environment. A group of scholars traveled to Canada and USA and observed seven factories and interviewed 40 professional of LED and discussed use of this technology in the context of Malaysia. The result of those observation and interview is synthesized and presented in this paper. The conclusion of this research confirms despit all LED advantages, it is very high cost in term of replacement, primary investment and maintenance.

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 score0.452
Threshold uncertainty score0.972

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 studies0.0000.003
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 head0.008
GPT teacher head0.243
Teacher spread0.235 · 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