Long Distance Trade, Locational Dynamics and By-Product Development: Insights from the History of the American Cottonseed Industry
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".