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Record W1981317771 · doi:10.5539/jsd.v3n3p239

Ecological Industry: A Sustainable Economy Developing Pattern

2010· article· en· W1981317771 on OpenAlexvenueno aff
Jingfu Guo, Haijun Mao, Tingrui Wang

Bibliographic record

VenueJournal of Sustainable Development · 2010
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsCircular economyBusinessIndustrial ecologySustainable developmentMode (computer interface)Natural resourceResource (disambiguation)Natural resource economicsSustainabilityEcologyIndustrial organizationEconomicsComputer science

Abstract

fetched live from OpenAlex

The traditional linear industries led to dwindling resources and even exhaustion, as well as worsening pollution, it is a short-sighted unsustainable developing mode of the economy. Ecological industry is to realize the harmonious development between economy and environment by planning industrial systems according to material cycle in the natural ecological system. The Eco-industry coordinates discrete enterprises and industries and integrates them into optimized industrial ecology chains which establish the “resources - products - renewable resources” of the circular economy mode. This paper conducts comprehensive comparison between traditional industry and eco-industry in 10 areas, such as guiding ideology, resource utilizing, environment protection etc. The core essence of the eco-industrial system is the layer of material circulation and delivery of energy use, it is a new, sustainable economic developing model.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2010
Admission routes1
Has abstractyes

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