MétaCan
Menu
Back to cohort
Record W3017308444 · doi:10.1680/jenes.20.00021

Briefing: Sustainable Management of Municipal Solid Waste without Food Waste

2020· article· en· W3017308444 on OpenAlexvenueno aff
Jay N. Meegoda, Bruno Bezerra de Souza

Bibliographic record

VenueJournal of Environmental Engineering and Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsMunicipal solid wasteFood wasteWaste managementIncinerationBusinessMobile incineratorEnvironmental scienceWaste collectionRefuse-derived fuelMechanical biological treatmentEngineering

Abstract

fetched live from OpenAlex

This paper discusses the feasibility of sustainable management of municipal solid waste without food waste. Many governments, states and cities are aware of the adverse impacts of food waste on the management of municipal solid waste. Biological contamination is the main issue when dealing with municipal solid waste. Hence, the absence of food waste opens up a window of opportunity for enhanced recovery of resources from municipal solid waste before or after landfilling. In order to relate the above, the paper first discusses the global significance of food waste and how it is managed. Then, it discusses the negative effects of food waste on landfill operation and probable solutions for managing food waste. Without biological contamination due to food waste and based on the average composition of municipal solid waste, the paper promotes enhanced recycling and sending the balance to a landfill or incinerator for recovery of the remaining resources. The paper suggests that municipal solid waste without food waste offers a new opportunity for sustainable management of solid waste to yield a prosperous, environmentally sustainable and healthy society.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.165

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.010
GPT teacher head0.192
Teacher spread0.182 · 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 designBench or experimental
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

Citations8
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Environmental Engineering and ScienceSame topicFood Waste Reduction and SustainabilityFrench-language works237,207