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Record W4317618549 · doi:10.3390/su15031998

The Paradigm of Circular Economy and an Effective Electronic Waste Management

2023· article· en· W4317618549 on OpenAlexaff
Saidia Ali, Farid Shirazi

Bibliographic record

VenueSustainability · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCircular economyZero wasteInefficiencyContext (archaeology)Consumption (sociology)Environmental economicsProduct (mathematics)Process (computing)BusinessResource (disambiguation)Cleaner productionWaste managementEconomic systemEngineeringEconomicsNatural resource economicsMunicipal solid wasteComputer scienceMarket economy

Abstract

fetched live from OpenAlex

Zero waste management is a holistic concept that recognizes waste both as a resource and a measure of the inefficiency of our modern society. While the traditional waste management system considers waste an ‘end-of-life’ product consumption, zero waste challenges this notion by recognizing that waste transforms resources in the intermediate stage of the resource consumption process. In this context, the most critical aspect of creating a zero-waste city is shifting from a linear economic model to a circular economy. According to a recent study, only 9 percent of the global economy is circular (reused or recycled into products). The other 91 percent follows a linear model of making and taking waste. This study investigates the role of effective e-waste management as a crucial part of a circular economy. Accordingly, this study offers insights into the role of the circular economy by presenting a successful implementation of the circular economy.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.269

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 studies0.0000.000
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 head0.003
GPT teacher head0.243
Teacher spread0.240 · 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 designTheoretical or conceptual
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

Citations40
Published2023
Admission routes1
Has abstractyes

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