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Record W2110221584 · doi:10.1177/0160017610375441

Industrial Symbiosis: Old Wine in Recycled Bottles? Some Perspective from the History of Economic and Geographical Thought

2010· article· en· W2110221584 on OpenAlexaff
Pierre Desrochers, Samuli Leppälä

Bibliographic record

VenueInternational Regional Science Review · 2010
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndustrial symbiosisExternalityPerspective (graphical)Relevance (law)Industrial ecologyPhenomenonProcess (computing)Economic geographyEconomicsSociologyEconomyEcologyPolitical scienceEpistemologySustainabilityLaw

Abstract

fetched live from OpenAlex

‘‘Industrial symbiosis’’ (IS) is a central concept in the industrial ecology literature, which describes geographically proximate interfirm relationships involving the exchange of residual materials, water, and energy. Despite its obvious relevance to regional science, economic geography, and urban economics, the issue is only beginning to be addressed in these subdisciplines. This situation is paradoxical as both recovery linkages and the very concept of IS were discussed in some depth by numerous economists and geographers several decades ago. The goals of this article are to document this intellectual history, in the process gaining a better understanding of the phenomenon while shedding additional light on current controversies. In doing so, the authors further hope to restimulate economists, geographers, and regional scientists’ interest in the topic and to illustrate the long-standing importance of geographical co-location in facilitating the ‘‘internalization of externalities’’ of industrial operations.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.014
Scholarly communication0.0090.008
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.272
Teacher spread0.245 · 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 designNot applicable
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

Citations48
Published2010
Admission routes1
Has abstractyes

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