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Record W2606350450 · doi:10.3390/su9040579

Long Distance Trade, Locational Dynamics and By-Product Development: Insights from the History of the American Cottonseed Industry

2017· article· en· W2606350450 on OpenAlexaff
Pierre Desrochers, Joanna Szurmak

Bibliographic record

VenueSustainability · 2017
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCottonseedProduct (mathematics)Dynamics (music)New product developmentEconomic geographyIndustrial organizationEconomicsBusinessMathematicsMarketingBiotechnologyBiologySociology

Abstract

fetched live from OpenAlex

Using the historical development of the American cottonseed value chain as a case study, we show that the factors usually deemed significant in the spontaneous development of localized industrial symbiosis (e.g., high volumes of potentially valuable yet environmentally problematic residuals, an economically diverse industrial base, as well as personal interactions and short mental distances between economic actors) have long been observed at much larger geographical scales. Like cereal grains and livestock, but unlike unprocessed residuals (e.g., residual steam and gas), the development of by-products out of cottonseed further involved numerous intermediaries and steps through which a complex raw material was broken down into various components that were then often (re)combined with other materials in remote locations. Additionally, because of the insufficient size and/or demand by domestic consumers, distant markets proved crucial at an early stage. We suggest that self-organizing and market-driven long-distance recovery linkages warrant more attention on the part of industrial symbiosis theorists, especially in terms of the technical, economic, geospatial, social and institutional conditions required for their emergence.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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 designObservational
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

Citations16
Published2017
Admission routes1
Has abstractyes

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