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Record W2109673965 · doi:10.5539/mas.v8n4p37

Municipal Solid Waste Management and Potential Revenue from Recycling in Malaysia

2014· article· en· W2109673965 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.

venuePublished in a venue whose home country is Canada.
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

VenueModern Applied Science · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
FundersUniversiti Teknologi MalaysiaMinistry of Higher Education, Malaysia
KeywordsTruckMunicipal solid wastePer capitaWaste managementRevenueEnvironmental scienceBusinessEngineeringPopulationEnvironmental healthFinance

Abstract

fetched live from OpenAlex

Municipal Solid Wastes (MSW) issues have become talk of the day worldwide because of the current and the future threats it has to both life and the environment. Malaysia, like other developing nations, has been facing serious problems in recent years in terms of MSW and its management due to the nation’s rapid economic growth. The objective of this paper is to review and present the current state of MSW and its management in Malaysia and to estimate the economic potentials of some recyclables as well. MSW generation in Malaysia has increased significantly in recent years, ranging between 0.5 - 2.5kg per capita per day (or a total of 25000 - 30000 tons per day). Generally, the waste contains high amount of organics, moisture content and bulk density. More than 70% of the generated wastes are collected using both curbside and communal centers with a collection frequency varying from daily to every two days. In addition, both compactor trucks and open lorry trucks are used. Landfilling is the main disposal method practiced; about 90 - 95% of the collected wastes is still disposed in landfills, with a recycling rate of 5 -10% despite the fact that 70 - 80% of the waste is recyclable. Estimation of the amount of recyclables and their revenue generation potential shows an impressive result. Recycling and composting of the municipal solid waste is therefore recommended.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.799

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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