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Record W2035957170 · doi:10.1177/027046760002000107

A Vision of Industrial Ecology: State-of-the-Art Practices for a Circular and Service-Based Economy

2000· article· en· W2035957170 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBulletin of Science Technology & Society · 2000
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCircular economySustainabilityIndustrial ecologyStewardship (theology)Product (mathematics)BusinessFrontierProduct-service systemEnvironmental stewardshipState (computer science)Service (business)Ecosystem servicesEnvironmental resource managementEcologyEngineeringEnvironmental economicsEconomicsMarketingEcosystemComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This article provides a comprehensive synthesis of state-of-the-art approaches used by industry to improve human, social, and environmental sustainability. Currently available methods such as product stewardship, industrial eco-park design, industrial ecology, Design for Environment (DfE), and others areexplained and their contribution summarized. Particular attention is paid to practices that make the material flows of a society more circular, as in natural ecosystems, and to the idea of companies selling services rather than products. It is concluded that the widespread implementation of these frontier practices are a necessary but not sufficient condition for achieving human, social, and environmental sustainability. Nevertheless, the methods synthesized in this paper reveal a largely untapped potential for improving industrial practices.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.239
Teacher spread0.226 · 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